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 : AWS Core Infrastructure
Good to have skills : AWS Architecture
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. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your typical day will involve developing and implementing AI solutions, collaborating with cross-functional teams, and ensuring the quality and efficiency of the application pipeline.

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.
– Develop and implement AI solutions using AI tools and Cloud AI services.
– Collaborate with cross-functional teams to ensure the successful delivery of projects.
– Ensure the quality and efficiency of the application pipeline.
– Stay updated with the latest advancements in AI and ML technologies.
– Contribute to the development of best practices and standards in AI and ML engineering.

Professional & Technical Skills:
– Must To Have Skills: Proficiency in AWS Core Infrastructure.
– Good To Have Skills: Experience with AWS Architecture.
– Strong understanding of statistical analysis and machine learning algorithms.
– Experience with data visualization tools such as Tableau or Power BI.
– 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:
– The candidate should have a minimum of 5 years of experience in AWS Core Infrastructure.
– This position is based at our Bengaluru office.
– 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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