Generative AI Engineer, Data & Analytics

1 - 4 years

4 - 5 Lacs

Posted:1 day ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

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

  • 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.

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