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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 the extensive experience required and significant impacts on AI project outcomes.

  • Leadership roles with high impact on AI projects
  • Significant experience required (15+ years)
  • Potential for strong career advancement
Pros
  • Leadership opportunity with significant decision-making impact
  • Involvement in advanced AI/ML projects
  • Strong potential for personal development and mentorship
Cons
  • High level of experience required (15+ years)
  • Possible high-stress environments with tight deadlines
  • Limited flexibility for remote work arrangements

Who it's for

Senior to Executive Level • On-site with possible hybrid options

Good fit
  • Senior AI leaders with extensive experience
  • Individuals passionate about team dynamics and mentorship
  • Candidates who excel in fast-paced environments
Not recommended for
  • Entry-level individuals or those without the required experience
  • Candidates seeking to work in isolation
  • Individuals uninterested in collaborative work

Motivation fit

Desire to innovate in AI technologyInterest in leading impactful projectsMotivation to mentor and build strong teams

Key skills

Expertise in AI/ML frameworksLeadership and management capabilitiesCollaboration in multi-team environmentsDeep knowledge of cloud-based AI solutions
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 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 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 AI models and systems to enhance performance and reliability. 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 that meet business needs. 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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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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