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 : Data Engineering
Good to have skills : NA
Minimum 3 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 applications and systems that integrate artificial intelligence tools and cloud-based AI services. The role requires managing application pipelines that are suitable for production environments, whether deployed on cloud platforms or on-premises. The engineer actively incorporates generative AI models into solutions and may work on diverse areas such as deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and adaptation to evolving AI technologies to deliver robust and scalable systems that meet organizational 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 cross-functional teams to ensure seamless integration of AI components into existing systems.
- Continuously monitor and optimize the performance of AI applications to maintain high reliability and efficiency.
- Document technical processes and solutions to support knowledge sharing within the team.
- Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong knowledge of data pipeline architectures and data processing frameworks.
- Experience with cloud platforms and services relevant to AI application deployment.
- Familiarity with managing and optimizing production-grade AI systems.
- Ability to work with large datasets and ensure data quality and integrity.
- Understanding of AI model integration and deployment best practices.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Indore office.
- A 15 years full time education is required.
Indore
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