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 :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 develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI projects.
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.

Collaborate with stakeholders to understand project requirements and objectives.

Design and develop AI/ML applications and systems using Cloud AI services.

Implement and optimize machine learning algorithms and models.

Ensure the quality and performance of AI applications through testing and debugging.

Stay up-to-date with the latest advancements in AI/ML technologies and tools.

Contribute to the documentation and knowledge sharing within the team.
Professional & Technical Skills:

Must To Have Skills:Proficiency in Machine Learning Operations.

Experience with cloud-based AI tools and services.

Strong understanding of deep learning, neural networks, and image processing.

Hands-on experience with chatbot development.

Solid knowledge of data preprocessing and feature engineering techniques.

Good To Have Skills:Experience with natural language processing (NLP) techniques.

Familiarity with big data technologies and distributed computing frameworks.

Experience with containerization and orchestration tools like Docker and Kubernetes.
Additional Information:

The candidate should have a minimum of 5 years of experience in Machine Learning Operations.

This position is based at our Bengaluru office.

A 15 years full-time education is required.

 Qualifications 
15 years full time education