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.