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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

Strong value from a well-known organization while focusing on leadership and AI innovations.

  • Engagement in leadership roles within AI
  • Innovative collaborative projects
  • Growth prospects in a leading firm
Pros
  • Leadership opportunities in AI/ML projects
  • Collaboration with cross-functional teams
  • Innovative environment with a focus on solutions
Cons
  • Higher expectations for candidates
  • May demand long hours during project peaks
  • Need for adaptability in a fast-paced culture

Who it's for

Senior • Full-time office-based

Good fit
  • Senior engineers with AI/ML expertise
  • Candidates wanting to lead impactful projects
  • Professionals eager for teamwork and innovation
Not recommended for
  • Entry-level candidates with minimal AI experience
  • Individuals wanting a rigid work structure
  • Those averse to dynamic project environments

Motivation fit

Desire to lead AI initiativesEagerness to work with advanced technologiesCommitment to driving team performance

Key skills

Machine LearningAI Model DeploymentTeam LeadershipCross-Functional 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 : Machine Learning
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, 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 advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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 mentorship within the team to foster professional growth. - Continuously evaluate and improve existing processes and systems to enhance performance and reliability. 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 programming languages such as Python or R for model development. - Knowledge of data preprocessing techniques and data pipeline construction. 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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