AI / ML 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 : AWS Machine Learning
Good to have skills : Machine Learning (ML)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / Machine Learning 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 to ensure solutions are production-ready, integrating generative AI models, and working on diverse technologies such as deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and collaboration to deliver scalable and efficient AI-driven solutions within a dynamic environment.

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 implementation of AI and machine learning projects ensuring alignment with organizational goals.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to optimize AI model deployment and maintenance.
- Continuously evaluate emerging AI technologies to enhance existing solutions.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Machine Learning, Machine Learning (ML).
- Good To Have Skills: Experience with Machine Learning (ML).
- Strong expertise in designing and deploying scalable machine learning models on cloud platforms.
- Experience with generative AI models and their integration into production systems.
- Knowledge of deep learning frameworks and neural network architectures.
- Familiarity with AI-driven applications such as chatbots and image processing solutions.

Additional Information:
- The candidate should have minimum 5 years of experience in AWS Machine Learning.
- This position is based at our PDC3B - SEZ office.
- A 15 years full time education is required.