AI/ML Engineer

2 weeks ago

Pune, Maharashtra, India Equifax Full time ₹ 20,00,000 - ₹ 25,00,000 per year

**What You'll Do****

  • Design, develop and deploy agent-based AI systems using LLMs
  • Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference.
  • Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks.
  • Collaborate with cross-functional teams to integrate knowledge base into agent frameworks.
  • Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP)
  • Implement version control strategies using Git, manage code repositories and ensure best practices in code management.
  • Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates.
  • Monitor, evaluate, and improve model performance post- deployment on Google Cloud.
  • Communicate technical findings and insights to non-technical stakeholders.
  • Participate in technical discussions and contribute to strategic planning.

What Experience You Need

  • Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • 7+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall.
  • Proven experience in building agent-based applications using Gemini, OpenAI or similar models.
  • Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies.
  • Hands-on experience with LangChain and LangGraph frameworks.
  • Solid background in model training, fine-tuning, evaluation and deployment.
  • Strong coding skills in Python and experience with modern MLOps practices.

**What Could Set You Apart****

  • Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks).
  • Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder.
  • Exposure to Angular framework

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