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AI / ML Engineer

Bengaluru

Pay
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Unconfirmed
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Accenture

What you’ll work on

Full posting
  • Build AI services, agents, retrieval pipelines, 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • At least 3 years of experience
  • Contributed meaningful code to production software, AI, ML, or data systems
  • Large Language Models (LLMs), RAG, embeddings, and vector databases
  • Python, APIs, testing, and software engineering
  • Cloud services, Docker, Git, CI/CD, SQL, and backend frameworks
Qualification wording
Minimum 3 year(s) of experience is required
Must have contributed meaningful code to production software, AI, ML, or data systems.
LLMs, RAG, embeddings, vector databases, tool calling, and prompt design.
Python, APIs, data structures, software engineering, and testing.
Cloud services, Docker, Git, CI/CD, SQL, and backend frameworks.

Tools in this posting

  • Python
  • SQL
  • Docker
Source — Tool mentions in context
Summary: 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. 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. Roles & 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. Professional & Technical Skills: - Python, APIs, data structures, software engineering, and testing. - 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.
Roles & 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. Professional & Technical Skills: - Python, APIs, data structures, software engineering, and testing. - 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. 15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 16, 2026 · 2d ago
Recorded sightings
2
Last seen by us
Oct 17, 2026

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Job description

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Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
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.
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.

Roles & 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.

Professional & Technical Skills:
- Python, APIs, data structures, software engineering, and testing.
- 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.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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