Data Scientist

Job Title: Data Scientist

(Position 3-Open)

Department: CIBD3

Reports To: Manish Kaurava -SDM Data Science and Analytics

Job Location: IN/PL/SB

Data Scientist – Role Overview

We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning services, Recommender Systems (RS), and Generative AI (LLM & LVM). The role will collaborate closely with Data Engineering, Data Science, and ML Engineering teams to design, develop, deploy, and scale intelligent data products and AI solutions.

Key Responsibilities

• Data Science & Advanced Analytics
• Develop and deploy end-to-end machine learning models from ideation to production.
• Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
• Build predictive and prescriptive models using statistical and ML techniques.
• Machine Learning Services (Primary Focus)
• Design and implement scalable ML pipelines for training, testing, and deployment.
• Work with ML platforms such as:
• Azure ML, AWS SageMaker, GCP Vertex AI
• Implement model lifecycle management including versioning, monitoring, and retraining.
• Optimize models for performance, scalability, and reliability.
• Recommender Systems (RS)
• Design and build personalized recommendation engines:
• Collaborative filtering
• Content-based filtering
• Hybrid recommendation systems
• Work with large-scale datasets to implement ranking, personalization, and user segmentation.
• Evaluate models using metrics like precision@k, recall@k, NDCG.
• Generative AI (GenAI – LLM & LVM)
• Build and deploy LLM-powered solutions:
• Chatbots, copilots, document intelligence
• Implement RAG (Retrieval-Augmented Generation) architectures.
• Work with models such as:
• OpenAI, Azure OpenAI, Hugging Face
• Develop use cases for:
• Text generation, summarization, classification
• Image/video understanding (LVM – Large Vision Models)
• Optimize prompts and manage prompt engineering workflows.
• Collaboration with Data Engineering
• Define data requirements and collaborate on data pipeline design.
• Ensure data quality, governance, and availability.
• Work with big data technologies like:
• Spark, Databricks, Hadoop
• ML Engineering & Deployment Support
• Collaborate with ML Engineers to:
• Deploy models via APIs and microservices
• Containerize models (Docker, Kubernetes)
• Integrate models into production systems and CI/CD pipelines.
• Model Monitoring & Governance
• Monitor model drift, performance degradation, and bias.
• Implement logging, alerting, and explainability tools.
• Ensure Responsible AI practices:
• Fairness, transparency, interpretability

Educational Background

• B.Tech/B.S./ M.S. in Computer Science, Statistics, Mathematics, or a related field

• 5+ years of experience in Data Science / Machine Learning roles
• Proven experience in end-to-end ML model development and deployment

Core Technical Skills

• Programming: Python (mandatory), SQL
• ML Libraries: Scikit-learn, TensorFlow, PyTorch
• Data Processing: Pandas, NumPy, Spark

• Strong expertise in:
• Supervised & Unsupervised Learning
• Model optimization techniques
• Hands-on experience with ML platforms and services

• Experience in designing and deploying recommendation engines
• Knowledge of ranking algorithms and personalization techniques

• Experience with:
• LLMs (GPT, Llama, etc.)
• Prompt engineering
• RAG frameworks (LangChain, LlamaIndex)
• Exposure to multimodal AI (LVM) is a strong plus

• Familiarity with:
• CI/CD for ML pipelines
• Docker, Kubernetes
• Understanding of model monitoring tools

• Strong knowledge of:
• Data pipelines, ETL processes
• Data warehousing concepts

• Strong communication, stakeholder management, and organizational skills
• Self-motivated, customer-focused, and detail-oriented mindset
• Experience with Azure ecosystem (Azure ML, Databricks)
• Exposure to real-time data processing
• Certifications in: Machine Learning / AI / Cloud
• Knowledge of ERP systems (SAP) – strongly preferred
• Six Sigma Yellow Belt or Green Belt certification – a plus
• ITIL certification – a plus