AI/ML Engineer

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Data Analytics

Chennai, TN, India

Professional Degree

Responsibilities

• Design, develop, train, and deploy machine learning and Generative AI models for real-world business use cases including prediction, automation, NLP, and decision intelligence.
• Build and optimize LLM-powered applications such as chatbots, document intelligence systems, summarization engines, and RAG (Retrieval-Augmented Generation) pipelines with hands-on experience in LLMs, embeddings, vector search, and RAG architectures.
• Perform data preprocessing, feature engineering, model evaluation, and hyperparameter tuning to ensure accuracy, reliability, and scalability.
• Develop and manage end-to-end ML and GenAI pipelines, including training, validation, versioning, deployment, monitoring, and optimization.
• Work with Snowflake, Databricks and other cloud platforms (GCP, AWS, Azure) to enable scalable data-driven AI solutions.
• Monitor model performance, drift, cost, and latency, and apply continuous optimization to production AI systems.
• Collaborate with cross-functional teams to translate business problems into scalable AI solutions.
• Apply AI governance, security, and responsible AI practices across ML and LLM systems.
  

Experience:

Location:

Employment Type:

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related fields.
• 23 years of hands-on experience in Machine Learning / AI projects.
• Strong programming skills in Python and ML libraries like XGBoost, Pytorch, Tensorflow.
• Strong understanding of Model Evaluation Techniques and Feature Engineering.
• Experience with SQL and data handling.
• Strong experience with model deployment.
• Basic understanding of MLOps concepts (CI/CD for ML, model versioning).
• Hands-on experience with LangChain, LlamaIndex, and LangGraph to orchestrate agents, workflows, and multi-step AI pipelines.
• Working experience with platforms like Snowflake, Databricks is a plus