About the Role We are seeking a highly skilled and innovative Senior Data Scientist - AI ML to lead the design development and deployment of advanced machine learning models and AI solutions This role is ideal for professionals with a strong foundation in data science deep learning and statistical modeling who can drive business impact through data-driven strategies and products Key Responsibilities Design build and deploy machine learning and AI models for a variety of business use cases Lead end-to-end ML projects from ideation to production including data preparation feature engineering model training validation and monitoring Collaborate with engineering product and business stakeholders to understand requirements and deliver impactful solutions Leverage techniques in deep learning NLP generative AI time-series analysis or computer vision as needed Mentor junior data scientists and contribute to technical best practices code reviews and solution architecture Evaluate and implement ML Ops practices for scalable and maintainable deployment Stay updated on emerging trends in AI ML and drive innovation by applying cutting-edge research Requirement 6 years of experience in data science machine learning and AI model development Proficiency in Python SQL and ML frameworks such as scikit-learn TensorFlow PyTorch or XGBoost Experience with cloud platforms AWS GCP Azure and data pipeline tools Airflow Spark etc Robust knowledge of model evaluation A B testing feature selection and data preprocessing Excellent communication and storytelling skills to present findings to both technical and non-technical audiences Experience in GenAI frameworks OpenAI Vertex AI multi-agent architectures and MLOps tooling Ability to ship high-quality intelligent products quickly and at scale Tech Stack Languages Frameworks Python Java SQL JavaScript TypeScript TensorFlow PyTorch Scikit-learn Spring Boot React Angular Cloud Platform GCP - Vertex AI BigQuery Cloud Functions Cloud Run Dataflow Pub Sub OCI - Data Science Autonomous Data Warehouse Functions Container Engine for Kubernetes OKE Data Flow and Streaming Data MLOps BigQuery AlloyDB MongoDB Redis Any relation Database - Oracle MySQL MSSQL Any of the MLOps - MLflow Kubeflow Airflow Docker Kubernetes GenAI Agents Vertex AI Gemini OpenAI Claude LangChain LlamaIndex FAISS Pinecone RAG pipelines autonomous agents multi-agent orchestration memory modules tool use prompt chaining Dev Tools GitHub Copilot ChatGPT Cursor AI