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 : NA
Minimum
5 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 integrating these solutions into robust production pipelines, whether hosted on cloud platforms or on-premises environments. The engineer actively works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, chatbot development, and image processing. Collaboration with various teams to ensure seamless deployment and operational excellence is a key aspect of daily activities, fostering innovation and efficiency in AI-driven projects.
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.
- Lead the design and implementation of AI and machine learning solutions to meet project requirements.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to align AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong knowledge of AI frameworks and libraries used for developing machine learning models.
- Experience in deploying AI solutions on cloud platforms and managing production pipelines.
- Familiarity with generative AI models and their practical applications in real-world scenarios.
- Ability to work with deep learning architectures, neural networks, and related AI technologies.
- Competence in developing AI-driven applications such as chatbots and image processing systems.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education