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Careers at Accenture
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AI / ML Engineer

Full Time
full-time
25 Sep 2025
Verified by Turrior

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

76 / 100

Offer value

Moderate value as it presents growth options while engaging in innovative AI development.

  • Work with a reputable company focused on AI innovations.
  • Engagement in meaningful projects with potential impact.
  • Requires significant experience (minimum 5 years).
  • Compensation details not specified.
Pros
  • Join a highly regarded organization with a focus on AI.
  • Opportunity to lead innovative AI projects.
  • Good potential for professional development and skill enhancement.
Cons
  • Requires 5+ years of specific experience which may limit applicants.
  • High expectations might lead to increases in work intensity.
  • Salary specifics are not disclosed, which can deter candidates.

Who it's for

Mid-Level • Office-based

Good fit
  • Mid-level AI/ML engineers looking for growth.
  • Candidates who thrive in collaborative settings.
  • Individuals eager to work on AI technologies.
Not recommended for
  • Less experienced professionals looking for entry-level roles.
  • Individuals who prefer isolated work settings.
  • Candidates not comfortable with project deadlines.

Motivation fit

Passion for working with advanced AI technologies.Interest in contributing to transformative projects.Aiming to refine leadership and mentoring skills.

Key skills

Proficiency in large language models.Understanding of AI development frameworks.Demonstrated ability to collaborate within teams.
Score: 76/100 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 5 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to foster professional growth. - Evaluate and implement best practices in AI and machine learning to enhance project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 7.5 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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