Generative AI Engineer, Data

2 weeks ago

Chennai, Tamil Nadu, India TVS Credit Services Ltd Full time ₹ 20,00,000 - ₹ 25,00,000 per year

The role aims to instill a culture of data aggregation, advanced analytics, and AI-driven insights across the organization. The incumbent will identify patterns in data to improve consumer experience, enhance decision-making, and contribute towards achieving organizational goals and objectives.

Key Responsibilities

Functional

  • Scale analytics capability across business functions and guide the organizations data strategy.
  • Organize, process, and analyze large, diverse datasets across multiple platforms.
  • Identify and communicate key insights to influence product and business strategy.
  • Collaborate with vendors and partners in a technical capacity on scope, approach, and deliverables.
  • Develop proofs of concept to validate ideas and solutions.
  • Partner with business teams to formalize analytical requirements and design robust, efficient, and reliable reporting solutions.
  • Design and implement advanced statistical testing and models for problem solving.
  • Deliver clear and concise insights to senior leadership, elevating analytics into strategic recommendations.

AI/ML & LLM-Specific

  • Build, train, and fine-tune data pipelines for ML and LLM use cases (dataset creation, cleaning, augmentation, labeling workflows).
  • Apply expertise in ML algorithms (e.g., XGBoost, SVM) and statistical modeling techniques (regression, segmentation, forecasting, hypothesis testing, A/B testing, decision trees, etc.).
  • Work hands-on with modern LLMs and embeddings (OpenAI, Anthropic, LLaMA-family, Mistral, etc.).
  • Implement instruction tuning/fine-tuning methods (LoRA, PEFT, adapters).
  • Integrate AI models with backend and frontend systems using APIs, batching, caching, and streaming responses.
  • Develop safe, secure, and compliant AI applications, including safety layers (prompt injection defense, hallucination reduction, PII redaction).
  • Build and deploy scalable AI/ML systems using MLOps practices (Docker, Kubernetes, CI/CD).
  • Work with frameworks and tools such as LangChain, Hugging Face Transformers, Ray/Serve, and vector databases (FAISS, Pinecone, Milvus).

Job Requirements

Qualifications

  • M.Tech / B.E. / B.Tech / M.Sc. in Computer Science, Statistics, Mathematics, Operational Research, Econometrics, or a related quantitative field.

Experience

  • Minimum 2+ years of experience in the analytics / AI / ML domain.
  • Prior exposure to BFSI/NBFC industry is desirable.

Functional Competencies

  • Strong analytical, logical reasoning, problem solving, and numerical aptitude
  • Proven experience with large datasets and big data technologies (SQL, Hadoop, Hive).
  • Advanced knowledge of data mining, statistical analysis, and ML algorithms.
  • Hands-on expertise with Python for analytics and AI development.
  • Proficiency in CI/CD, MLOps, and modern AI/ML engineering practices.
  • Familiarity with Azure OpenAI, LangChain, Hugging Face, and related ecosystems.
  • Knowledge of speech-to-text systems (e.g., Whisper, Indian languages a plus).

Desirable Skills

  • Experience in BFSI/NBFC domain.
  • Exposure to speech-to-text and multilingual NLP solutions.

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