AI / ML Engineer

AI / ML Engineer

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. Minimum 5 year(s) of experience is required. Educational Qualification: 15 years full time education.

As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. Daily activities may include collaborating with cross-functional teams to ensure seamless implementation of AI-driven solutions, optimizing system performance, and exploring innovative approaches such as deep learning, neural networks, chatbots, and image processing to address complex challenges effectively.

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 efforts to identify and implement best practices in AI and machine learning engineering within the team.
• Facilitate knowledge sharing and mentorship to support the growth and development of team members.
• Coordinate with stakeholders to align project goals and deliverables with organizational objectives.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Experience with designing and maintaining scalable data pipelines and architectures.
• Strong knowledge of cloud platforms and services relevant to AI and machine learning deployments.
• Familiarity with integrating generative AI models and other advanced AI techniques into production environments.
• Ability to work with large datasets and optimize data workflows for performance and reliability.
• Competence in programming languages and tools commonly used in data engineering and AI projects.

Additional Information:

The candidate should have minimum 5 years of experience in Data Engineering. This position is based at our Hyderabad office. A 15 years full time education is required.