business analyst

data architect

financial analyst

data analyst

data engineer

data scientist

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

Data Scientist

IntelliSense.io

<div><h1 class="jobSectionHeader">Join IntelliSense.io as an Applied Data Scientist!</h1><h2 class="jobSectionHeader">
Shape the Future of Mining with IntelliSense.io</h2>
Are you driven by the power of data and inspired by real-world impact? Do you want to apply cutting-edge tech to one of the world&rsquo;s most transformative industries? IntelliSense.io is looking for an exceptional Applied Data Scientist to bring our next-generation models to life across flagship projects in the Kingdom of Saudi Arabia.
At IntelliSense.io, we&rsquo;re not just building AI &mdash; we&rsquo;re pioneering Objective AI (ODAI), a breakthrough approach that blends fundamental physics with artificial intelligence to truly understand the physical world. Our technology acts as the &ldquo;brain of the operation&rdquo;, empowering people with role-specific AI co-pilots and enabling autonomous decision-making across the mining value chain.
With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia &mdash; a global leader in mining development under Vision 2030.<h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Technical leadership within a diverse, interdisciplinary team</li><li>
Fostering a healthy, stimulating work environment that promotes teamwork and collaboration</li><li>
Taking on ownership of implementation/execution of deployments at customer sites</li><li>
Designing and specifying approaches for achieving modelling aims</li><li>
Upholding high standards of rigour and ensuring quality work</li><li>
Working with poor, noisy and/or limited data</li><li>
Applying various mathematical, statistical and machine learning techniques to challenging problems</li><li>
Rapidly developing ideas and iterating towards production</li><li>
Communicating approaches and results to customers and colleagues</li><li>
Cooperating with our Product Team and working with our partners</li><li>
Identifying market opportunities, new technologies and approaches which can benefit our product and our customers</li><li>
Breaking down high-level requirements into tasks with clearly defined completion and success criteria</li><li>
Working on tasks assigned in the team</li><li>
Supporting the recruitment, onboarding, and mentoring of new team members</li></ul><h2 class="jobSectionHeader">
What You Bring</h2>
This role is for someone who
<ul><li>Enjoys working with a diverse team of colleagues from different backgrounds</li><li>
Celebrates the success of others and supports their progress and development</li><li>
Digs deeper into problems and can help others to find solutions</li><li>
Shows curiosity and an inquisitive approach to problem solving</li><li>
Is comfortable working with remote colleagues around the world</li><li>
Wants to stretch themselves beyond their comfort zone</li><li>
Shows an openness to using whatever tool is best suited to a given problem</li><li>
Appreciates how important friendly and empathic communication are in a fast-moving, diverse, and distributed team</li><li>
Would be excited to hear about our models and applications<ul><li>
Physical and empirical models of complex processes and equipment</li><li>
Machine learning prediction and inference models</li><li>
Configurable optimizers producing real-time recommendations</li><li>
Rigorous treatment of uncertainty and errors in physical and machine learning models</li><li>
Bayesian reconciliation of imprecise measurements</li><li>
Robust treatment of challenging data sources and messy data</li></ul></li><li>
Fluency in both English and Arabic is essential.</li><li>
Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required due to the remote locations of client operations.</li><li>
Openness to travel to the United Kingdom for extended training periods, particularly during the onboarding phase.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Competitive salary and benefits package in line with local market standards</li><li>
Remote-first and flexible working model</li><li>
Generous paid time off (annual leave and public holidays per Saudi Labour Law)</li><li>
Paid parental and sick leave</li><li>
A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to Vision 2030</li><li>
A fast-paced, supportive international environment with significant career growth opportunities</li><li>
A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business</li></ul><h2 class="jobSectionHeader">
Be Part of the Future</h2>
If you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.
Note: This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.</div>

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. 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/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. 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.
 </li>
 <li>
 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
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

<div>
 
 Join IntelliSense.io as an Applied Data Scientist!
 
 
 
 Shape the Future of Mining with IntelliSense.io
 
 
 Are you driven by the power of data and inspired by real-world impact? Do you want to apply cutting-edge tech to one of the world&rsquo;s most transformative industries?
 
 IntelliSense.io is looking for an exceptional Applied Data Scientist
 
 to bring our next-generation models to life across flagship projects in the Kingdom of Saudi Arabia.
 
 
 At IntelliSense.io, we&rsquo;re not just building AI &mdash;
 
 we&rsquo;re pioneering Objective AI (ODAI)
 
 , a breakthrough approach that blends fundamental physics with artificial intelligence to truly understand the physical world. Our technology acts as the
 
 &ldquo;brain of the operation&rdquo;,
 
 empowering people with role-specific AI co-pilots and enabling autonomous decision-making across the mining value chain.
 
 
 With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia &mdash; a global leader in mining development under Vision 2030.
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 Technical leadership within a diverse, interdisciplinary team
 </li>
 <li>
 Fostering a healthy, stimulating work environment that promotes teamwork and collaboration
 </li>
 <li>
 Taking on ownership of implementation/execution of deployments at customer sites
 </li>
 <li>
 Designing and specifying approaches for achieving modelling aims
 </li>
 <li>
 Upholding high standards of rigour and ensuring quality work
 </li>
 <li>
 Working with poor, noisy and/or limited data
 </li>
 <li>
 Applying various mathematical, statistical and machine learning techniques to challenging problems
 </li>
 <li>
 Rapidly developing ideas and iterating towards production
 </li>
 <li>
 Communicating approaches and results to customers and colleagues
 </li>
 <li>
 Cooperating with our Product Team and working with our partners
 </li>
 <li>
 Identifying market opportunities, new technologies and approaches which can benefit our product and our customers
 </li>
 <li>
 Breaking down high-level requirements into tasks with clearly defined completion and success criteria
 </li>
 <li>
 Working on tasks assigned in the team
 </li>
 <li>
 Supporting the recruitment, onboarding, and mentoring of new team members
 
 
 
 </li>
 </ul>
 What You Bring
 
 
 
 This Role Is For Someone Who
 
 
 
 <ul>
 <li>
 Enjoys working with a diverse team of colleagues from different backgrounds
 </li>
 <li>
 Celebrates the success of others and supports their progress and development
 </li>
 <li>
 Digs deeper into problems and can help others to find solutions
 </li>
 <li>
 Shows curiosity and an inquisitive approach to problem solving
 </li>
 <li>
 Is comfortable working with remote colleagues around the world
 </li>
 <li>
 Wants to stretch themselves beyond their comfort zone
 </li>
 <li>
 Shows an openness to using whatever tool is best suited to a given problem
 </li>
 <li>
 Appreciates how important friendly and empathic communication are in a fast-moving, diverse, and distributed team
 </li>
 <li>
 Would be excited to hear about our models and applications
 </li>
 <ul>
 <li>
 Physical and empirical models of complex processes and equipment
 </li>
 <li>
 Machine learning prediction and inference models
 </li>
 <li>
 Configurable optimizers producing real-time recommendations
 </li>
 <li>
 Rigorous treatment of uncertainty and errors in physical and machine learning models
 </li>
 <li>
 Bayesian reconciliation of imprecise measurements
 </li>
 <li>
 Robust treatment of challenging data sources and messy data
 
 </li>
 </ul>
 <li>
 Fluency in both English and Arabic is essential.
 </li>
 <li>
 Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required due to the remote locations of client operations.
 </li>
 <li>
 Openness to travel to the United Kingdom for extended training periods, particularly during the onboarding phase.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary and benefits package in line with local market standards
 </li>
 <li>
 Remote-first and flexible working model
 </li>
 <li>
 Generous paid time off (annual leave and public holidays per Saudi Labour Law)
 </li>
 <li>
 Paid parental and sick leave
 </li>
 <li>
 A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to Vision 2030
 </li>
 <li>
 A fast-paced, supportive international environment with significant career growth opportunities
 </li>
 <li>
 A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business
 
 
 
 </li>
 </ul>
 Be Part of the Future
 
 
 If you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.
 
 
 
 Note:
 
 This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 7 + years in data science/ML engineering, with 4 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead initiatives to develop and implement strategies for fraud detection and AML.
 </li>
 <li>
 Interact heavily with SME as well as Enterprise clients.
 </li>
 <li>
 Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
 </li>
 <li>
 Plan, research and experiment customized project-based solutions.
 </li>
 <li>
 Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
 </li>
 <li>
 Plan and execute towards the training of ML models then deploying them.
 </li>
 <li>
 Help shape the roadmap for the development of our fraud and AML solutions.
 </li>
 <li>
 Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 At least 5 years experience in leading advanced data science projects.
 </li>
 <li>
 A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
 </li>
 <li>
 Strong communication skills to collect insights from clients, share and present findings.
 </li>
 <li>
 Proficient in handling and analysing large datasets using SQL and Python.
 </li>
 <li>
 Hands-on experience in data extraction, visualisation, analysis, and transformation.
 </li>
 <li>
 Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
 </li>
 <li>
 Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
 </li>
 <li>
 Ability to create and manage complex multi-stage data pipelines.
 </li>
 <li>
 Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
 </li>
 <li>
 Proficiency in English language is required and preferably in Arabic languages.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and adaptability
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. 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.
 </li>
 <li>
 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
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

Senior Data Scientist

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Gen AI Data Scientist
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dhahran, Saudi Arabia
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Develop and deploy
 
 machine learning and deep learning models
 
 for
 
 time series forecasting
 
 ,
 
 NLP
 
 , and
 
 sensor/IoT data analysis
 
 .
 </li>
 <li>
 Fine-tune and deploy
 
 state-of-the-art (SOTA) models
 
 , including
 
 LLMs
 
 , using frameworks like
 
 HuggingFace
 
 , and methods like
 
 LoRA
 
 ,
 
 Q-LoRA
 
 , and full model fine-tuning.
 </li>
 <li>
 Implement and evaluate
 
 bagging and boosting models
 
 (e.g., XGBoost, LightGBM, CatBoost) for structured and sensor data.
 </li>
 <li>
 Design and optimize
 
 neural network architectures
 
 , including
 
 CNNs
 
 ,
 
 RNNs
 
 ,
 
 Transformers
 
 , and attention-based models using
 
 PyTorch
 
 .
 </li>
 <li>
 Build and evaluate
 
 model performance
 
 using appropriate metrics and validation strategies.
 </li>
 <li>
 Work with
 
 smart sensor data
 
 and
 
 IoT systems
 
 , extracting features and building predictive models for anomaly detection, failure prediction, and optimization.
 </li>
 <li>
 Develop and expose model inference as
 
 REST APIs
 
 using
 
 FastAPI
 
 or similar web frameworks.
 </li>
 <li>
 Collaborate with DevOps and engineering teams to operationalize models using
 
 Docker
 
 ,
 
 CI/CD pipelines
 
 , and cloud platforms.
 </li>
 <li>
 Maintain and improve data pipelines, feature engineering, and model monitoring in production environments.
 </li>
 </ul>
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline:
 
 31-Mar-2026
 
 
 
 
 
 
 Privacy Notice:
 
 
 
 https://ibegin.tcs.com/iBegin/privacy-notice
 
</div>

Gen AI Data Scientist

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