Role & responsibilities
- Lead the design, development, and deployment of end-to-end data science and machine learning solutions.
- Solid 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.

📌 Lead Data Scientist (Bengaluru)
🏢 Evoke Technologies
📍 Bengaluru