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 : Python (Programming Language)
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
AI Engineer – Supports the development and maintenance of AI platforms, assisting senior engineers.

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.
– Assist in the implementation and maintenance of platform components.
– Monitor platform performance and security, as directed by Sr resources.
– Collaborate with development and infrastructure teams.
– Assist in troubleshooting and resolving platform-related issues, working closely with testing team.
– Develop applications and systems utilizing AI tools and Cloud AI services.
– Create a proper cloud or on-prem application pipeline with production-ready quality.
– Apply GenAI models as part of the solution.
– Utilize deep learning techniques and neural networks.
– Implement chatbots and image processing algorithms.

Professional & Technical Skills:
– Must To Have Skills: Proficiency in Python (Programming Language).
– Strong understanding of statistical analysis and machine learning algorithms.
– Experience with data visualization tools such as Tableau or Power BI.
– Basic experience in platform engineering.
– Knowledge of AI technologies and cloud platforms.
– Strong problem-solving and troubleshooting skills.
– Willingness to learn and work collaboratively in a team environment.
– 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

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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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