Automation Process Engineer

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 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 enhance system capabilities, optimizing performance, and ensuring the robustness of solutions that may involve deep learning, neural networks, chatbots, or image processing techniques. The position demands continuous innovation and adaptation to evolving AI technologies to meet project goals 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 the development and deployment of AI-driven solutions ensuring alignment with organizational objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor project progress and implement improvements to enhance efficiency and quality.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong expertise in designing and implementing machine learning models and algorithms.
- Experience with cloud AI services and managing application pipelines for production environments.
- Knowledge of generative AI models and their practical applications within solutions.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to work with AI technologies such as chatbots and image processing tools.

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.