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 : Microsoft Azure DevOps
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 tools and cloud-based AI services. The role requires managing the development pipeline for both cloud and on-premises environments, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing technologies. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of daily activities, fostering innovation and efficiency in AI-driven initiatives.
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.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate with stakeholders to ensure alignment of AI initiatives with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure DevOps.
- Experience with cloud infrastructure management and continuous integration/continuous deployment pipelines.
- Strong understanding of AI model deployment and lifecycle management in cloud environments.
- Familiarity with containerization and orchestration technologies to support scalable AI applications.
- Ability to troubleshoot and optimize AI workflows and pipelines for performance and reliability.
Additional Information:
- The candidate should have minimum 5 years of experience in Microsoft Azure DevOps.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Hyderabad
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