AI / ML Engineer_Machine Learning Operations

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 : Machine Learning Operations

Good to have skills : NA

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful deployment of AI-driven solutions.

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.

- Mentor junior team members to enhance their skills and knowledge.

- Continuously evaluate and improve existing AI models and systems.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning Operations.

- Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud.

- Strong understanding of deep learning frameworks like TensorFlow or PyTorch.

- Experience in deploying machine learning models in production environments.

- Familiarity with data preprocessing and feature engineering techniques.