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 : Dataiku Data Science Studio (DSS)
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 integrate artificial intelligence technologies and cloud-based services. The role requires ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises environments. The engineer actively works on incorporating 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 the daily routine, alongside continuous evaluation and enhancement of system performance and reliability.
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 development and deployment of AI and machine learning models ensuring scalability and robustness.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor project progress and implement improvements to optimize workflows and deliverables.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Dataiku Data Science Studio (DSS).
- Experience in designing and managing end-to-end AI and machine learning pipelines.
- Strong understanding of cloud computing environments and deployment strategies.
- Ability to integrate generative AI models and deep learning techniques into practical applications.
- Familiarity with neural networks, chatbot development, and image processing methodologies.
- Competence in troubleshooting and optimizing AI systems for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Dataiku Data Science Studio (DSS).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
