Added 7 Nov 2026 · Engineering
Job description
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 : Generative AI
Good to have skills : NA
Minimum 7.5 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 designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on various projects that may include chatbots and image processing, ensuring that the applications meet high-quality standards and are effectively integrated into existing systems. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that drive the organization forward.
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 mentoring within the team to enhance overall performance.
- Analyze project requirements and translate them into actionable tasks for the team.
- prompt engineering, agent frameworks, async programming, FastAPI, CI/CD, containerization (Docker), and basic Kubernetes knowledge, model deployment, real-time agent workflows-streaming(Kafka/Event Hubs)
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Familiarity with data preprocessing and augmentation techniques to enhance model performance.
- Ability to design and implement APIs for AI applications.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Generative AI.
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education Important Notice
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Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Bengaluru, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Experience mentioned: 5+ years
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.
Location & work arrangement
Listed work locations
- Bengaluru, India