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AI/ML Engineer - Specialist @ Equifax

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 AI/ML Engineer - Specialist

Job Description

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
  • Masters / 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, ADK.
  • Exposure to Angular framework
Primary Location:
IND-Pune-Equifax Analytics-PEC
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

Job Classification

Industry: Financial Services
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: Equifax Credit
Location(s): Pune

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Keyskills:   Computer science Training Coding GCP Cloud Services Machine learning Strategic planning Healthcare Analytics Python

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Equifax

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