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Careers at Accenture
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AI / ML Engineer

Full Time
full-time
5 Nov 2025
Verified by Turrior

Content + Source + Freshness • 17 Dec 2025 • 95% confidence

82 / 100

Offer value

High value due to specific expertise in Large Language Models, strong company reputation, and career advancement opportunities.

  • Focus on Large Language Models, a hot field in tech.
  • Career growth potential in a leading firm.
  • Requires deep industry experience (12+ years)
Pros
  • Focus on Large Language Models which are vital in the current market.
  • Work at a top-tier organization like Accenture.
  • Strong potential for team leadership and mentorship roles.
Cons
  • Minimum experience requirement of 12 years may deter some candidates.
  • May require extensive time commitments due to project complexity.
  • Limited details on salary and benefits.

Who it's for

Senior / Lead • In-office (Bengaluru)

Good fit
  • Senior experts in AI/ML
  • Leaders with experience in managing AI teams
  • Individuals passionate about cutting-edge AI technologies
Not recommended for
  • Junior level professionals
  • Individuals looking for completely remote work
  • Candidates averse to fast-paced environments

Motivation fit

Eagerness to innovate within AI landscape.Desire to take on leadership responsibilities.Commitment to professional growth in AI technologies.

Key skills

Large Language ModelsCloud AI ServicesDeep Learning FrameworksNatural Language ProcessingTeam Collaboration
Score: 82/100 AI verified analysis

About the job

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
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall capabilities. - Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and deployment strategies. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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