AI / ML Engineer
Accenture
Bengaluru2–5 yrs2h agovia Naukri
About the Role
Develop and deploy AI-enabled applications and agentic workflows in fast-moving enterprise and client environments. Must have contributed meaningful code to production software, AI, ML, or data systems. Coursework, certifications, and prototype-only experience are insufficient.
Key Responsibilities
- Build AI services, agents, retrieval pipelines, tools, and application integrations.
- Develop production-quality Python services and APIs.
- Connect AI systems to enterprise data sources and business applications.
- Implement automated tests, evaluations, logging, tracing, and monitoring.
- Troubleshoot model outputs, data quality, integration failures, and performance issues.
- Support deployment, user testing, and production stabilization.
- Document reusable components and implementation patterns.
Requirements & Tech Stack
- Python, APIs, data structures, software engineering, and testing.
- Large Language Models (LLMs), RAG, embeddings, vector databases, tool calling, and prompt design.
- Cloud services, Docker, Git, CI/CD, SQL, and backend frameworks.
- Secure coding, observability, latency, and cost considerations.
- Practical experience using Cursor, GitHub Copilot, Claude Code, Codex, or Replit Agent to build and deploy AI services, with the ability to write effective task specifications, validate generated code, create tests, troubleshoot failures and work safely with Git and CI/CD.
- Ability to apply GenAI models as part of the solution.
- Experience with deep learning, neural networks, chatbots, image processing.
Qualifications
- 15 years full-time education.