Coforge
Website:
coforge.com
Job details:
Customer: Fiserv - 5 days a week Job Title as per SoW: Test Automation Lead | AI/ML | Quality Engineering Experience: 8?10 years overall (minimum 5 years in AI/ML and GenAI) Required Skills Strong proficiency in Python (FastAPI, Flask, async programming, RESTful APIs). Proven experience in AI/ML pipelines ? data preprocessing, model training, fine-tuning, and deployment (TensorFlow, PyTorch, Scikit-learn). Must have hands-on with GenAI frameworks (LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc.). Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases, embeddings, Graphs. Working knowledge of prompt engineering, optimisation and fine-tuning. Familiarity with Graph databases (Neo4j) or agent-based architectures. Architect and code in Python for scalable, reusable, and high-performing systems. Strong grounding in software quality engineering concepts and automation frameworks. Solid understanding of CI/CD, containerization (Docker/Kubernetes), and cloud(AWS) deployment. Excellent debugging, performance optimization, and solutioning skills. Nice to Have 006fu00000Bccp8AAB AI QE Lead Customer: Fiserv Location: Alpharetta, GA (Onsite ? 5 days a week) Job Title as per SoW: QEAI Lead ? Python | AI/ML | Quality Engineering Experience: 8?10 years overall (minimum 5 years in AI/ML and GenAI) Required Skills Strong proficiency in Python (FastAPI, Flask, async programming, RESTful APIs). Proven experience in AI/ML pipelines ? data preprocessing, model training, fine-tuning, and deployment (TensorFlow, PyTorch, Scikit-learn). Must have hands-on with GenAI frameworks (LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc.). Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases, embeddings, Graphs. Working knowledge of prompt engineering, optimisation and fine-tuning. Familiarity with Graph databases (Neo4j) or agent-based architectures. Architect and code in Python for scalable, reusable, and high-performing systems. Strong grounding in software quality engineering concepts and automation frameworks. Solid understanding of CI/CD, containerization (Docker/Kubernetes), and cloud(AWS) deployment. Excellent debugging, performance optimization, and solutioning skills. Nice to Have Experience with Playwright/Selenium-based test automation frameworks. Prior experience in product
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