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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We re looking for a Computer Vision Engineer to join a growing team building LiDAR-based perception systems real-world 3D sensing solutions that power physical products, not just demos. This is a hands-on role: you ll take vision and sensing systems from prototype to production, working closely with hardware and firmware teams to get sensors, calibration, and algorithms working together reliably in the field. What You ll Do Design, build, and deploy computer vision pipelines for real-time detection, tracking, or 3D reconstruction Work with camera and/or depth sensor data (RGB, depth cameras, LiDAR) calibration, synchronization, and data quality Optimize models and pipelines for edge deployment (latency, memory, compute constraints) Integrate vision systems with hardware/firmware teams to bring solutions from prototype to production Build and maintain inference services (e.g., containerized APIs) with clean CI/CD practices Debug field issues across the stack from sensor hardware quirks to model performance Document system architecture and processes clearly for cross-functional teams</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must-haves: 3 5 years of experience in computer vision or applied ML engineering Strong Python skills; comfortable with OpenCV and standard CV/ML libraries Experience with real-time or near-real-time processing pipelines Solid Linux systems knowledge comfortable working outside a pure notebook/dev environment Experience deploying models to production (Docker, APIs, cloud or edge) Strong problem-solving instincts when things break in the real world, not just in code</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Drive the development and implementation of AI use cases across our organization. Lead the technical execution of high-impact projects, transforming business requirements into scalable AI features for both internal and external products. Operate with a high degree of autonomy, owning the full development lifecycle. Lead projects technically, set high architectural standards, and mentor others.</p><p>Key Responsiblities:</p><ul><li>Own the execution of AI initiatives from ideation and data preparation to deployment and scaling.</li><li>Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real-world automation and intelligence challenges.</li><li>Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real-world automation and intelligence challenges.</li><li>Design and manage efficient data flows and pipelines to ensure AI models are backed by robust, production-ready data.</li><li>Take ownership of the technical roadmap for specific use cases, ensuring best practices in code quality, system reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in computer science, artificial intelligence, IT or a similar field.</li><li>+3 years of professional experience in AI Engineering, Machine Learning, or a closely related software engineering field.</li><li>Proven expertise in Generative AI (LLMs, RAG, and prompt engineering).</li><li>Strong foundation in Traditional ML (classification, regression, and predictive analytics).</li><li>Expert proficiency in Python and experience with modern data science libraries.</li><li>Experience working within cloud ecosystems and data warehouses to manage large-scale datasets and orchestrate data flows.</li><li>A track record of moving projects from prototype to production, ensuring they are scalable and reliable for end-users.</li><li>Strong understanding of containerization (e.g., Docker) and AI deployment lifecycles is a significant advantage.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Under its technical assistance project with the Ministry of Economy and Planning in Saudi Arabia, ESCWA is hiring a consultant to support the development and strengthening of interconnected trade analysis tools by contributing to extending ESCWA s trade negotiation and simulation tools. The tasks cover data preparation and management, analytical framework development, user-oriented interface improvements, and preparation of user guides and training materials. The objective of this consultancy is to support the development and strengthening of interconnected trade analysis tools. The following activities will be implemented by the consultant:</p><p>1. Develop a tracking and monitoring system of barriers to trade in services in Saudi Arabia and its key partners. The tracking and monitoring system will offer a unique platform through listing and displaying barriers through different forms covering legal barriers, STRI and AVEs of key barriers to trade in services with the possibility to classify them by mode of supply.</p><p>2. Refine and improve the generation of automatic briefs from running the final updated and extended GETSI developed for Saudi Arabia.</p><p>3. Prepares methodological notes, user guides, and training content to support national teams in effectively using the new trade simulation interfaces.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A first-level university degree in Economics or Finance is required.</li><li>Master's in Economics or Finance is desirable.</li><li>All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed</li><li>At least two years of professional experience in economic research and policy analysis, with a focus on international trade, is required.</li><li>Experience in drafting technical documentation, methodological notes, and policy-oriented analytical outputs is required.</li><li>Experience in the application of artificial intelligence tools for economic or trade-related analysis is required.</li><li>Knowledge of programming languages (Python) is required.</li><li>Experience working with international trade databases and programmatic data access tools (including APIs) is desirable.</li><li>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA.</li><li>For this position, Fluency in English is required.</li><li>Knowledge of French and Arabic is desirable.</li><li>Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas.</li></ul><p></p></section>

<p><strong>Job Overview</strong></p><p>We are seeking a motivated AI Engineer to join our dynamic team in Saudi Arabia.&nbsp;</p><p>This internship-focused role provides hands-on experience in designing, developing, and deploying AI-powered solutions that address real-world business challenges.</p><p>You will work closely with data scientists, software engineers, and product managers to deliver scalable, production-ready AI systems while gaining exposure to cutting-edge technologies and industry best practices.</p><p>&nbsp;</p><p><strong>About the Company</strong></p><p>We are a forward-thinking technology firm dedicated to leveraging artificial intelligence to transform industries.&nbsp;</p><p>Our culture emphasizes innovation, collaboration, and continuous learning.&nbsp;</p><p>We offer a supportive environment for interns to grow their technical capabilities and contribute to meaningful projects across various domains.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul><li>Assist in researching, prototyping, and implementing AI/ML models aligned with business goals.</li><li>Prepare and process datasets, perform data cleaning, feature engineering, and exploratory data analysis.</li><li>Develop and optimize machine learning pipelines and APIs for deployment.</li><li>Collaborate with software engineers to integrate AI components into front-end and back-end systems.</li><li>Participate in model evaluation, testing, and benchmarking to ensure reliability and performance.</li><li>Document experiments, results, and technical specifications for reproducibility.</li><li>Contribute to the development of technical roadmaps and best practices for AI initiatives.</li><li>Stay updated with the latest AI/ML research and tools; share insights with the team.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>Currently pursuing or recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Data Science, AI/ML, or a related field (internship candidate status).</li><li>Fundamental understanding of machine learning concepts, algorithms, and evaluation metrics.</li><li>Proficiency in at least one programming language commonly used in AI (Python preferred).&lt; /li&gt;</li><li>Experience with data processing libraries (NumPy, pandas) and ML frameworks (scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with data visualization tools and techniques.</li><li>Basic knowledge of cloud services (e.g., AWS, Azure, or GCP) and containerization (Docker) is a plus.</li><li>Strong problem-solving skills, curiosity, and a collaborative mindset.</li><li>Excellent communication skills in English; Arabic language proficiency is a plus.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Python programming</li><li>Machine learning fundamentals</li><li>Data preprocessing and feature engineering</li><li>Model development and evaluation</li><li>Version control (Git)</li><li>Ability to work in cross-functional teams</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Structured internship program with paired mentors and regular feedback.</li><li>Hands-on project experience with potential for full-time opportunities.</li><li>Exposure to cloud platforms, ML tooling, and modern development practices.</li><li>Competitive stipend and relocation support where applicable.</li><li>Professional development resources, training sessions, and networking opportunities.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance. The Data Analyst collaborates with cross-functional teams to identify trends, evaluate operational metrics, and develop actionable insights that support strategic initiatives and improve business outcomes. Responsibilities include analyzing large datasets, building dashboards and reports, and providing leadership with clear, data-driven recommendations. Success in this role requires a strong technical foundation, attention to detail, and the ability to communicate complex information in a clear and concise manner. The ideal candidate thrives in a fast-paced environment and is passionate about using data to solve operational challenges and enhance organizational performance.</p><p>Key Responsibilities:</p><ul><li>Gathering business data and reporting requirements from stakeholders, business owners and users from the Manufacturing domain for metrics used to monitor business performance.</li><li>Making large and/or complex data more accessible, understandable and usable.</li><li>Analyze complex data sets to identify patterns, trends, and insights for all operational teams.</li><li>Transforming, improving, and integrating data, depending on the business requirements.</li><li>Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.</li><li>Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.</li><li>Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools &amp; techniques.</li><li>Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.</li><li>Ensure data integrity and accuracy by implementing best practices in data management and governance.</li><li>Visualize performance data in LUCID standard live dashboards formats.</li><li>Stay up to date with industry trends and best practices in data analytics and visualization tools.</li><li>Connecting to various systems and a data warehouse to deliver the data in a useful and appealing way to users.</li><li>Access technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and provide technical solutions as needed.</li></ul><p>Skills:</p><ul><li>Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>Demonstrated project management abilities, including the ability to prioritize tasks, manage timelines, and allocate resources effectively.</li><li>Ability to deep-dive data from both a top-down and bottom-up approach.</li><li>Ability to think strategically and communicate strategies effectively.</li><li>Experience in the Automotive Industry (OEM or Tier 1 Suppliers).</li><li>Experience working in a dynamic/start-up environment is a plus.</li><li>Flexibility in the work schedule is required (to include evenings and weekends, as needed).</li><li>Advanced skills in Python or other general-purpose programming language, Microsoft office advanced user.</li><li>Working knowledge of Smartsheet, SAP, JIRA, Tableau, and any costing software.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in engineering, Supply Chain, Finance, Data Science, or equivalent experience in a related field.</li><li>3-5+ years of experience in data analytics, reporting, visualization, Python, etc.</li><li>Advanced degree in a relevant field.</li><li>Experience with complex analysis and data analytics in a Manufacturing context.</li><li>In-depth understanding of automotive Interior market dynamics and performance reporting mechanisms.</li><li>Competency with SQL, Tableau and other data visualization software.</li><li>Ability to manage multiple priorities and make strategic decisions.</li><li>Creative problem-solver with calculated risk-taking ability.</li><li>Experience in supplier relationship management and dispute resolution.</li><li>Knowledge of automotive industry trends and emerging technologies in Interior components.</li><li>Cost Engineering experience.</li><li>Start-up working experience is a plus.</li></ul><p></p></section>

<p>The Business Data Analyst II role has a national salary range of $55,000 - $90,000.</p><p>For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.</p><p>DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.</p><p><br></p><p>Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we’re looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact—this role is for you!</p><p><br></p><p><strong>Job Description</strong></p><p>As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You’ll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.</p><p>Responsibilities</p><ul><li>Develop and maintain Power BI reports to support operational and strategic decisions</li><li>Full development of Power BI including data visualization and back-end data model design</li><li>Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements</li><li>Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction</li><li>Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs</li><li>Translate complex data into clear, actionable insights through presentations and reports for internal and customer use</li><li>Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)</li></ul><p><br></p><p><strong>Required Experience</strong></p><ul><li>Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required</li><li>0–2 years of experience in data analytics, business intelligence, or a related field, required</li><li>Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred</li><li>Proficiency in Power BI, including building dashboards and reports, required</li><li>Experience writing DAX expressions to automate and enhance Power BI reports, preferred</li><li>Familiarity with statistical concepts and data modeling techniques, preferred</li><li>Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred</li><li>Must be able to work fully onsite if role based out of a warehouse, required</li></ul><p><br></p><p>Our Organization is an equal opportunity employer.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for AI Engineer to join Ninja and play a foundational role in building our AI function.<br> This position is focused on designing, developing, and deploying production-ready agentic AI systems that deliver real business impact.<br> You will work on customer care automation, knowledge management pipelines, and intelligent targeting and decision-making engines, ensuring scalable, reliable, and high-performance AI solutions.<br> This is a hands-on engineering role for someone who enjoys shipping production systems rather than building experimental prototypes, and who is excited to shape the future of AI at Ninja.<br> Strong Python (3.<br>11+), with production experience in FastAPI services Agentic workflow design: Has designed or built multi-step agentic workflows, and understands the tradeoffs between deterministic state machines / graphs and open-ended ReAct-style agents.<br> LLM integration: Has built directly against the Anthropic and/or OpenAI SDKs in production.<br> Comfortableworking without heavy abstraction layers LangGraph experience is a plus.<br> Retrieval judgment: Understands when structured/keyed database lookups beat vector search, and hasimplemented RAG when it's actually the right tool Data layer: Comfortable with PostgreSQL, SQLAlchemy 2.<br>0 (async), Alembic migrations, pgvector, and Redisfor session/state management.<br> Production discipline: Has shipped systems with real guardrails: cost controls, latency budgets,escalation/fallback paths, and evaluation loops Familiarity with an LLM observabilitytool (Langfuse, LangSmith, Helicone, or equivalent) is expected.<br> Prompt engineering &amp; evals: Practical experience writing, testing, and iterating on prompts, including building orusing eval frameworks to catch regressions.<br> MCP / tool-serving: Exposure to MCP (Model Context Protocol) servers or similar tool-exposure patterns for AI assistants is a strong plus.<br> Multilingual (nice-to-have): Experience with Arabic or other non-English LLM applications (dialect handling,multilingual evals) Public GitHub required: A public GitHub profile with real, browsable work — personal projects, open-source contributions, or code samples they can point to.<br> Solid hands-on experience: Genuine hands-on builder, not someone who has only architected or managed.<br> They should be able to walk through code they personally wrote line-by-line, including decisions and mistakes.<br> Ownership and proactivity.<br> This is a founding role with minimal oversight.<br> We need someone who identifies problems and drives them to done without being told step-by-step what to do.<br> Riyadh-based (or hybrid).<br> Based in Riyadh, or willing to work hybrid with regular in-person presence in Riyadh.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business today and in the future.</p><p>As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value. This is a unique opportunity to design, build, and deploy a wide range of applications from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.</p><p>Key Responsibilities:</p><ul><li>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</li><li>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:<ul><li>Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</li><li>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</li><li>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</li></ul></li><li>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</li><li>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</li><li>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</li></ul><p>Knowledge, Skills and Abilities:</p><ul><li>AI &amp; Machine Learning Expertise: Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.). Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases, Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</li><li>Application Development &amp; Operations: Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic. Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s). Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</li><li>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</li><li>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</li></ul><p>Requisite Education and Experience / Minimum Qualifications:</p><ul><li>Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.</li><li>Education: A Master s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.</li><li>Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).</li><li>DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.</li><li>MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</li></ul><p>The talent and dedication of our employees are at the core of DataRobot s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees well-being at the core. Here s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.). Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases, Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring. Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic. Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s). Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints. Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences. A deep curiosity and a passion for solving complex, unstructured problems. Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production. A Master s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. Hands-on experience with a major cloud platform (AWS, Azure, or GCP). Familiarity with the DataRobot AI Platform is a strong plus. Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are searching for a strategic and inquisitive Data Scientist.<br> As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions.<br> You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.<br> What you'll do Communicate highly technical results and methods clearly to a wide variety of external clients.<br> Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.<br> Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.<br> Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making.<br> Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.<br> Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.<br> Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments.<br> You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.<br> 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models.<br> Programming experience over three years, including data manipulation using Python or other languages.<br> Good understanding of statistics and probability, such as Bayesian methods and conditional probability.<br> Applied experience in machine learning, such as conducting model experiments.<br> Experience in version control systems, such as Git, GitHub.<br> Experience in SQL or NoSQL is preferred.<br> Familiarity with big data technologies, such as Spark.<br> Experience in deep learning frameworks, such as PyTorch.<br> Familiarity with containerization frameworks, such as Docker.<br> Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">YO IT Consulting is seeking a Python (Machine Learning) Quality Assurance Lead for a contract role. This position will oversee quality, consistency, and trainer performance for Python machine learning AI training projects within a rapidly growing AI Data Services company that partners with major AI companies and foundation-model labs. The role requires a focus on ensuring training data is accurate, executable, statistically sound, reproducible, clearly explained, and aligned with client expectations.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <p style="margin:0 0 12px; ************;">The Python (Machine Learning) Quality Assurance Lead will be responsible for the following:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Reviewing AI-generated Python code, ML workflows, model explanations, and trainer/QA work against project guidelines.</li> <li style="margin:0 0 6px;">Evaluating output quality and providing precise written feedback to ensure contributors adhere to expected standards.</li> <li style="margin:0 0 6px;">Assessing work for correctness in code, machine learning methodology, statistical validity, reproducibility, model evaluation, data leakage risks, package usage, debugging, readability, maintainability, formatting, and instruction adherence.</li> <li style="margin:0 0 6px;">Spot-checking Python ML items, identifying quality issues, providing feedback, and escalating critical or recurring problems.</li> <li style="margin:0 0 6px;">Evaluating AI-generated Python code, ML pipelines, data preprocessing, model training, evaluation logic, debugging responses, and explanations for correctness and reproducibility.</li> <li style="margin:0 0 6px;">Flagging Python ML recommendations that are misleading, overconfident, statistically invalid, non-reproducible, insecure, or not production-ready.</li> <li style="margin:0 0 6px;">Communicating with teams, providing clear technical feedback, and updating contributors on guideline changes and review standards via Discord.</li> <li style="margin:0 0 6px;">Responding to questions regarding Python syntax, package usage, data leakage, model validation, metrics, statistical assumptions, reproducibility, and rubric interpretation.</li> <li style="margin:0 0 6px;">Managing inactive contributors, encouraging engagement, tracking follow-ups, and flagging availability issues.</li> <li style="margin:0 0 6px;">Creating and maintaining Python ML style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.</li> <li style="margin:0 0 6px;">Identifying recurring quality gaps and developing scalable QA processes.</li> <li style="margin:0 0 6px;">Conducting onboarding and training sessions for Python ML contributors.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3> <p style="margin:0 0 12px; ************;">Candidates should possess the following qualifications:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a closely related quantitative field.</li> <li style="margin:0 0 6px;">A minimum of 3 years of professional experience in Python development, machine learning, data science, ML engineering, model evaluation, research engineering, technical review, or ML education.</li> <li style="margin:0 0 6px;">Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, data scientists, ML researchers, coding mentors, or QAs is strongly preferred.</li> <li style="margin:0 0 6px;">Experience with AI training, data annotation, LLM evaluation, code QA, ML QA, or rubric-based technical review is a strong plus.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical and Soft Skills</h3> <p style="margin:0 0 12px; ************;">Required skills include:</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A strong understanding of Python fundamentals including data structures, functions, classes, iterators, comprehensions, exception handling, virtual environments, package management, testing, and debugging.</li> <li style="margin:0 0 6px;">A strong understanding of ML topics such as supervised/unsupervised learning, feature engineering, train/test splits, cross-validation, model selection, data leakage, regression, classification, clustering, metrics, bias/variance, regularization, and reproducibility.</li> <li style="margin:0 0 6px;">The ability to evaluate ML content against detailed rubrics and identify issues such as flawed methodology, incorrect metrics, data leakage, non-reproducible code, invalid assumptions, hallucinated APIs, misleading conclusions, or incomplete explanations.</li> <li style="margin:0 0 6px;">Familiarity with libraries and tools such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow/Keras, XGBoost/LightGBM, Jupyter, matplotlib, seaborn, MLflow, Hugging Face, SQL, GitHub, Docker, and CI/CD is preferred.</li> <li style="margin:0 0 6px;">Strong English language proficiency for following guidelines, communicating with teams, and providing clear technical feedback.</li> <li style="margin:0 0 6px;">Comfort working in fast-moving remote environments using platforms like Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.</li> <li style="margin:0 0 6px;">High organizational skills to maintain documentation and quality control materials.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Arrangement and Process</h3> <p style="margin:0 0 12px; ************;">This is an hourly, remote contractor role. The selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. While there is no immediate project for this role, qualified candidates will be prioritized for future relevant opportunities and gain access to the company's expert network.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description We are seeking a skilled Python Developer to join our technical team in Riyadh. In this role, you will be responsible for developing, maintaining, and optimizing Python-based applications and systems that support the organization's core technical operations. You will work in a collaborative environment, contributing to scalable solutions that drive business success. Job Purpose To design, build, and maintain robust Python-based applications and backend systems, ensuring high performance, reliability, and scalability to meet the organization's technical requirements in Riyadh. Job Duties and Responsibilities Deliver clean, scalable Python code on schedule Integrate APIs and backend services efficiently Debug and resolve production issues within SLA Optimize application performance and response times Document code and technical processes thoroughly</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Python</li><li>Django / Flask</li><li>RESTful APIs</li><li>SQL / PostgreSQL</li><li>Git</li><li>Linux</li><li>Docker</li><li>Problem-solving</li><li>Team collaboration</li><li>Time management</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We're Hiring: DevOps Engineer (6-Month Extendable Contract) | Riyadh, Saudi Arabia Immediate joiners ONLY: Targeting Candidates Available to Start Next Wee We are supporting a leading consulting firm in Saudi Arabia on a project with a major government ministry. They are looking for an experienced DevOps Engineer to join immediately. Location: Riyadh, Saudi Arabia (On-site)Duration: 6 months (extendable)Start: Immediate Joiner Required Key Responsibilities: Implement and maintain CI/CD pipelines for secure, continuous deployments Work within air-gapped MoD environments Automate configuration and container hardening using Ansible and Bash/Python Manage builds, deployments, and YAML manifests Perform environment validations and handle secrets management via Vault Troubleshoot enterprise-scale pipeline issues Must-Have Skills: GitLab CI/CD OpenShift and kuberentes knowldge is very crucial. Helm Docker / Podman Ansible Bash / Python scripting Secrets management (HashiCorp Vault) Transferable Iqama ONLY apply if you meet all the Must have skills Interested? Send your CV to AEMAIL_ADDRESS</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Implement and maintain CI/CD pipelines for secure, continuous deployments Work within air-gapped MoD environments Automate configuration and container hardening using Ansible and Bash/Python Manage builds, deployments, and YAML manifests Perform environment validations and handle secrets management via Vault Troubleshoot enterprise-scale pipeline issues Must-Have Skills: GitLab CI/CD OpenShift and kuberentes knowldge is very crucial. Helm Docker / Podman Ansible Bash / Python scripting Secrets management (HashiCorp Vault) Transferable Iqama ONLY apply if you meet all the Must have skills</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>While each project involves unique tasks, contributors may:</p><ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul><p>This opportunity is a good fit for material scientists &amp; engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p><ul> <li>Degree in Material Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Please submit your CV in English and indicate your level of English proficiency.&nbsp;</p><p>This opportunity is a good fit for material scientists &amp; engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p><ul> <li>Degree in Material Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Hired is recruiting on behalf of a client in <strong style="font-weight:700;">Saudi Arabia</strong> for a <strong style="font-weight:700;">Senior Python Developer</strong>. This contract role is centered on the development and maintenance of scalable backend services using Python, with a strong focus on performance optimization and ensuring high code quality. The ideal candidate will bring 2-5 years of dedicated experience in Python development.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context</h3> <p style="margin:0 0 12px; ************;">The successful candidate will join a global leader within the Technology, Information, and Internet industry. This position offers the opportunity to contribute to the development of high-performance backend systems that support critical business applications, collaborating with cross-functional teams to design, develop, and deploy software solutions that meet business requirements.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Develop, test, and deploy Python-based backend services and APIs, ensuring scalability and efficiency.</li> <li style="margin:0 0 6px;">Write clean, maintainable, and well-documented code, adhering to best practices and design patterns.</li> <li style="margin:0 0 6px;">Optimize existing codebases to enhance performance, reliability, and security.</li> <li style="margin:0 0 6px;">Participate in code reviews to uphold coding standards and software quality metrics.</li> <li style="margin:0 0 6px;">Troubleshoot and resolve issues within production environments, including debugging and root cause analysis.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Experience</h3> <p style="margin:0 0 12px; ************;">Candidates are expected to have 2-5 years of professional experience in Python development. A key requirement for this role is the ability to work independently in a remote environment with minimal supervision.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Arrangement</h3> <p style="margin:0 0 12px; ************;">This is a contract position offering flexible hours and the ability to work remotely from any location. The role is designed for professionals who thrive in an autonomous work setting.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation</h3> <p style="margin:0 0 12px; ************;">Compensation for this contract role is offered at a rate of <strong style="font-weight:700;">$30 - $90 per hour</strong>.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>While each project involves unique tasks, contributors may: </p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <p>This opportunity is a good fit for material scientists &amp; engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Material Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. </p> <p>On this project, contributors can earn up to <strong>$35 per hour equivalent</strong>, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> em&gt; <strong>Please submit your CV in English and indicate your level of English proficiency. </strong> /em&gt; </p> <p>This opportunity is a good fit for material scientists &amp; engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Material Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>While each project involves unique tasks, contributors may: </p> <ul> <li>Design original computational biology problems that simulate real biology research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling;</li> <li>Base problems on real research challenges or practical applications from biology practice;</li> <li>Verify solutions using Python with standard computational biology libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <p>This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Biology or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with biological data analysis and algorithms;</li> <li>Familiarity with bioinformatics tools and computational methods;</li> <li>Strong written English (C1+).</li> </ul> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <p>On this project, contributors can earn up to <strong>$35 per hour equivalent</strong>, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p> <p>This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Biology or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with biological data analysis and algorithms;</li> <li>Familiarity with bioinformatics tools and computational methods;</li> <li>Strong written English (C1+).</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>While each project involves unique tasks, contributors may: </p> <ul> <li>Design original computational chemistry problems that simulate real chemistry research workflows;</li> <li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling;</li> <li>Base problems on real research challenges or practical applications from chemistry practice;</li> <li>Verify solutions using Python with standard computational chemistry approaches;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <p>This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Chemistry or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical methods in chemistry;</li> <li>Familiarity with computational chemistry concepts and methods;</li> <li>Strong written English (C1+).</li> </ul> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <p>On this project, contributors can earn up to <strong>$35 per hour equivalent</strong>, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> em&gt; strong&gt;Please submit your CV in English and indicate your level of English proficiency. /strong&gt; /em&gt; </p> <p>This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Chemistry or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical methods in chemistry;</li> <li>Familiarity with computational chemistry concepts and methods;</li> <li>Strong written English (C1+).</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>While each project involves unique tasks, contributors may: </p> <ul> <li>Design original computational mathematics problems that simulate real mathematical research workflows; </li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); </li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); </li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; </li> <li>Base problems on real research challenges or practical applications from mathematical practice; </li> <li>Verify solutions using Python with standard mathematical libraries; </li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <p>This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Mathematics (Pure or Applied) or related fields; </li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; </li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable; </li> <li>Experience with numerical methods and symbolic computation; </li> <li>Ability to design problems that mirror real mathematical research workflows; </li> <li>Familiarity with computational complexity theory; </li> <li>Strong written English (C1+).</li> </ul> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. </p> <p>On this project, contributors can earn up to <strong>$35 per hour equivalent</strong>, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> em&gt; strong&gt;Please submit your CV in English and indicate your level of English proficiency. /strong&gt; /em&gt; </p> <p>This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Mathematics (Pure or Applied) or related fields; </li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; </li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable; </li> <li>Experience with numerical methods and symbolic computation; </li> <li>Ability to design problems that mirror real mathematical research workflows; </li> <li>Familiarity with computational complexity theory; </li> <li>Strong written English (C1+).</li> </ul><p></p></section>