AI / ML Engineer Full-time

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 Front End Development (FED) Angular, IBM AIX,sun Solaris
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
The Front-End Engineer (FED) focuses on developing and maintaining the user interfaces for the simulation components, ensuring an intuitive and user-friendly experience.

Roles & Responsibilities:
– Expected to perform independently and become an SME.
– Required active participation/contribution in team discussions.
– Contribute in providing solutions to work-related problems.
– Design and develop user interfaces for simulation components.
– Collaborate with UX/UI designers to ensure a seamless user experience.
– Implement front-end features and functionality using relevant frameworks and tools.
– Optimize front-end performance and responsiveness.
– Work with back-end engineers to integrate front-end and back-end components.
– Apply GenAI models as part of the solution.

Professional & Technical Skills:
– Must To Have Skills: Proficiency in Microsoft Front End Development (FED) Angular.
– Strong understanding of statistical analysis and machine learning algorithms.
– Experience with data visualization tools such as Tableau or Power BI.
– Strong expertise in front-end development (HTML, CSS, JavaScript).
– Proficiency with front-end frameworks and libraries (React, Angular, Vue.js).
– Experience in building and optimizing user interfaces for simulation systems.
– Good understanding of UX/UI principles.
– Ability to work collaboratively with cross-functional teams.
– Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
– Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Additional Information:
– A 15 years full-time education is required.

15 years full time education

Equal Employment Opportunity Statement

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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