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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

74 / 100

Offer value

Stable position in an established company, but high experience requirements limit accessibility for emerging professionals.

  • Involvement in forward-thinking AI projects.
  • Room for advancement in one of the world's leading firms.
  • Focus on teamwork and collaborative problem-solving.
  • Requires over a decade of relevant experience.
Pros
  • Work with a leading global company in AI.
  • Engagement in innovative projects utilizing generative AI.
  • Possibility for skill enhancement and career advancement.
Cons
  • High barrier to entry with 12+ years of experience required.
  • Pressure to perform and innovate in complex projects.
  • Possibly limited flexibility in work arrangement.

Who it's for

Senior Level • On-site in Bengaluru

Good fit
  • Experienced AI/ML practitioners looking for leadership roles.
  • Professionals interested in generative AI applications.
  • Candidates ready for a challenging, innovative work atmosphere.
Not recommended for
  • Entry-level specialists lacking experience.
  • Individuals preferring fully remote work.
  • Those not inclined towards collaborative projects.

Motivation fit

Desire to drive technological innovation.Interest in mentoring and leading technical projects.Willingness to adapt to dynamic project requirements.

Key skills

Machine Learning AlgorithmsAI Tools and ServicesTeam Leadership and CollaborationGenerative AI Application Development
Score: 74/100 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 : Machine Learning
Good to have skills : NA
Minimum 15 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, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. 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 performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information: - The candidate should have minimum 12 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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End-to-end AI hiring for modern HR teams

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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