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 DevOps


Good to have skills :NA
Minimum
3 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:Infra Engineer - Supports the design, implementation, and maintenance of infrastructure for AI systems.
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.

Help client implement and maintain infrastructure components.

Monitor infrastructure performance and security.

Assist in troubleshooting and resolving infrastructure issues.

Collaborate with development and operations teams.
Professional & Technical Skills:

Must To Have Skills:Proficiency in Microsoft Azure DevOps.

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

Strong understanding of statistical analysis and machine learning algorithms.

Knowledge of cloud platforms and infrastructure technologies.

Strong problem-solving and troubleshooting skills.

Ability to work collaboratively in a team environment.

Experience with data visualization tools such as Tableau or Power BI.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization.
Additional Information:

A 15 years full-time education is required.

 Qualifications 
15 years full time education