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 : Microsoft Azure Databricks

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, 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 end-to-end application pipelines that are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative AI models into solutions and works on diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to ensure seamless deployment and continuous improvement of AI-driven applications is a key aspect 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 solutions ensuring alignment with project goals and timelines.

Mentor junior team members to enhance their technical skills and understanding of AI technologies.

Coordinate cross-functional efforts to optimize AI model deployment and operational efficiency.

Professional Technical Skills:

Must To Have Skills:

Proficiency in Microsoft Azure Databricks.

Strong experience in developing and deploying AI and machine learning models within cloud environments.

Knowledge of data engineering concepts including data ingestion, transformation, and pipeline orchestration.

Familiarity with generative AI models and their practical applications in real-world solutions.

Ability to work with deep learning frameworks and neural network architectures.

Experience in integrating AI services with production-grade application pipelines.

The candidate should have minimum 5 years of experience in Microsoft Azure Databricks.

This position is based at our Bengaluru office.

A 15 years full time education is required.

Qualification 15 years full time education