AI/ML Engineer - Specialist
Equifax
Date: 1 week ago
City: Pune, Maharashtra
Contract type: Full time
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.
- Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 5+ 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.
- 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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