Data Science Practitioner

AI / ML Engineer

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 developing advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires managing the deployment of these solutions through robust application pipelines, whether on cloud platforms or on-premises environments, ensuring they meet production-ready standards. The engineer integrates generative AI models into solutions and may work on diverse technologies such as deep learning, neural networks, chatbots, and image processing to create innovative and efficient AI-driven products. Collaboration and continuous improvement of AI systems are key aspects 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 to meet project goals.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate cross-functional efforts to align AI initiatives with organizational objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience with machine learning frameworks and libraries to build scalable AI models.
- Strong understanding of cloud computing platforms and their AI service offerings.
- Ability to develop and maintain production-grade AI pipelines and workflows.
- Familiarity with generative AI models and their practical applications in real-world scenarios.
- Competence in handling data preprocessing, feature engineering, and model evaluation techniques.

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.