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 : Google Cloud Data Services

Good to have skills : Data Science, Data Engineering, Google BigQuery

Minimum 18 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 application pipelines, ensuring high-quality outputs, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet business needs and technical requirements.

Roles & Responsibilities:

Expected to be a Subject Matter Expert with deep knowledge and experience.
Should have influencing and advisory skills.
Engage with multiple teams and be responsible for team decisions.
Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.
Analyze and evaluate existing systems to identify areas for improvement and optimization.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Google Cloud Data Services.
Good To Have Skills: Experience with Data Engineering, Data Science, Google BigQuery.
Strong understanding of cloud-based architecture and services.
Experience in developing and deploying machine learning models in production environments.
Proficiency in programming languages such as Python or Java for AI and machine learning applications.

Additional Information:

The candidate should have minimum 18 years of experience in Google Cloud Data Services.
This position is based at our Bengaluru office.
A 15 years full time education is required.