Data Scientist

Job Title: Data Scientist

Job Type: Full Time

Work Mode: Hybrid

Experience: 8yrs-14yrs

Work location: Hyderabad and Bangalore

Job Description: Data Scientist

Technical Skills Mandatory

Technical Skills (Must Have)

• Lead the design, development, and deployment of end-to-end data science and machine learning solutions .

• Strong hands-on experience in Python and data science libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and TensorFlow.

• Design and implement machine learning models for classification, regression, clustering, forecasting, recommendation, and NLP use cases.

• Strong understanding of statistics, probability, hypothesis testing, experimentation, feature engineering, and model evaluation .

• Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, embeddings, vector databases, and AI agents .

• Experience building and deploying production-grade AI/ML solutions using cloud platforms such as Azure or AWS.

• Hands-on experience with Azure AI Foundry / Azure OpenAI / Amazon SageMaker or equivalent AI/ML platforms.

• Experience designing data pipelines and ML pipelines for training, validation, deployment, and monitoring.

• Experience with MLOps , including model versioning, experiment tracking, CI/CD, model deployment, monitoring, and model drift detection.

• Strong experience working with SQL and relational databases and familiarity with data warehouses/data lakes.

• Experience with REST APIs, microservices, Docker, and Kubernetes for AI/ML application deployment.

• Implement AI/ML solutions with appropriate security, privacy, responsible AI, and governance controls .

• Optimize models for accuracy, scalability, latency, reliability, and cost .

• Lead technical discussions and mentor Data Scientists, ML Engineers, and junior team members.

• 8+ years of experience in Data Science / Machine Learning / AI.

• Strong programming experience in Python .

• Strong knowledge of Machine Learning and Deep Learning algorithms.

• Strong understanding of statistics and mathematical foundations of ML .

• Hands-on experience with Generative AI and LLM applications .

• Experience with RAG architectures, embeddings, vector databases, and semantic search .

• Experience with AI Agents / Agentic AI architectures .

• Experience with Azure AI Foundry, Azure OpenAI, AWS SageMaker, or equivalent platforms .

• Strong experience with ML model development, evaluation, deployment, and monitoring .

• Experience with MLOps and ML lifecycle management .

• Strong SQL and data manipulation skills.

• Experience with Git and CI/CD .

• Experience with Docker and Kubernetes is preferred.

• Experience with cloud services such as Azure / AWS .

• Strong understanding of AI security, responsible AI, data privacy, and AI governance .

• Ability to translate business requirements into scalable AI/ML solutions.