Generative AI Engineer, Data & Analytics
ConfidentialChennai4 days ago
Job descriptionBuild 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.
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 innovative 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
Skills Required
Python, Sql, Hadoop, Hive, XGBoost, Segmentation
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Generative Ai Engineer • Chennai