Key Responsibilities

Functional Responsibilities

- Scale analytics capabilities across business functions and shape the organization's data strategy.
- Organize, process, and analyze large datasets across various platforms.
- Extract and communicate key insights to influence product and business strategies.
- Collaborate with external vendors/partners on technical scope, approach, and deliverables.
- Develop proof-of-concept models to validate creative solutions.
- Translate business requirements into analytical approaches and reporting solutions.
- Design and implement advanced statistical tests and models for actionable problem-solving.
- Present insights and recommendations to senior leadership in a clear and impactful manner.

AI/ML & LLM Responsibilities

- Build and optimize data pipelines for ML and LLM use cases (dataset creation, cleaning, augmentation, labeling workflows).




- Apply advanced machine learning algorithms and statistical techniques (e.g., XGBoost, SVM, regression, segmentation, forecasting, A/B testing).
- Work hands-on with modern LLMs (OpenAI, LLaMA, Mistral, Anthropic) and vector databases (FAISS, Pinecone, Milvus).
- Implement fine-tuning methods like LoRA, PEFT, and adapters.
- Integrate AI/ML models into systems using APIs, batching, and streaming mechanisms.
- Ensure AI solutions are secure, safe, and compliant (e.g., hallucination reduction, PII redaction).
- Use MLOps tools for scalable deployment (Docker, Kubernetes, CI/CD pipelines).
- Work with frameworks like LangChain, Hugging Face Transformers, and Ray/Serve.

Skills: Hive, Sql, Segmentation, XGBoost, Python, Hadoop

Experience: 1.00-4.00 Years

📌 Generative AI Engineer, Data & Analytics (Chennai)
🏢 TVS Credit Services
📍 Chennai