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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

76 / 100

Offer value

A solid opportunity reflecting a balance between project responsibilities and growth potential, though with demanding experience levels.

  • Engage in innovative AI technology projects
  • Potential for leadership within teams
  • Collaborative team-focused culture
  • High experience requirements could deter newcomers
Pros
  • Work with cutting-edge AI technologies
  • Strong emphasis on innovation
  • Collaborative team environment
Cons
  • High experience requirement can limit applications
  • Uncertainty surrounding salary details
  • Potentially demanding workloads

Who it's for

Senior-Level • On-site

Good fit
  • Seasoned AI/ML professionals
  • Team leaders who thrive on innovation
  • Engineers driven to solve complex challenges
Not recommended for
  • Entry-level individuals entering the AI field
  • Candidates seeking purely remote positions
  • Those who prefer roles with minimal collaboration

Motivation fit

Passion for working on meaningful AI solutionsEagerness to engage in technology developmentDesire to collaborate with diverse teams

Key skills

Machine LearningDeep LearningProject ManagementTeam Collaboration
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 : 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 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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