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 : Machine Learning (ML)
Good to have skills : Generative AI
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven solutions to meet evolving business needs.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to refine and optimize AI models and application workflows.
- Assist in documenting technical processes and sharing knowledge to support team growth.
- Support junior team members by providing guidance and sharing best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Good To Have Skills: Experience with Generative AI.
- Strong understanding of machine learning algorithms and their practical applications.
- Experience in developing and deploying AI models in cloud or on-premises environments.
- Familiarity with deep learning techniques, neural networks, and natural language processing.
- Ability to work with AI frameworks and tools to build scalable and efficient solutions.
Additional Information:
- The candidate should have minimum 2 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
This job post has been translated by AI and may contain minor differences or errors.
