Machine Learning 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 : 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 creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning and image processing, to enhance system capabilities and performance.

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 foster their professional growth and enhance team performance.

• Continuously evaluate and implement best practices in AI and machine learning to improve project outcomes.

Professional & Technical Skills:

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

• Good To Have Skills: Experience with cloud-based AI services.

• Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.

• Familiarity with data preprocessing and feature engineering techniques.