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 : Data Science

Good to have skills : NA

Minimum 7.5 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 services. The role requires integrating these solutions into robust pipelines that are ready for production environments, ensuring seamless deployment and operation. The engineer works on implementing generative artificial intelligence models as part of comprehensive solutions, which may also encompass deep learning techniques, neural network architectures, conversational agents, and image analysis. Collaboration with various teams to align technical approaches and deliver high-quality, scalable AI-driven products is a key aspect of daily activities.

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 that meet project requirements and quality standards.
Facilitate knowledge sharing and mentoring within the team to foster continuous learning and skill development.
Coordinate cross-functional efforts to ensure alignment of AI initiatives with organizational goals and technical feasibility.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Data Science.
Experience with machine learning frameworks and libraries to develop and deploy AI models effectively.
Strong understanding of cloud computing platforms and their AI service offerings to build scalable solutions.
Ability to work with large datasets, including data preprocessing, feature engineering, and model evaluation.
Familiarity with deep learning concepts, neural networks, and generative AI techniques to enhance solution capabilities.
Competence in developing production-grade pipelines for AI applications, ensuring reliability and maintainability.

Additional Information:

The candidate should have minimum 7.5 years of experience in Data Science.
This position is based at our Hyderabad office.
A 15 years full time education is required.