AI Engineering Solutions Specialist

6 days ago


Noida, Uttar Pradesh, India EXL Full time

About the Role

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EXL is seeking an experienced AI Engineer to join our team. As a MLOps Engineer, you will be responsible for driving machine learning prototypes into production and ensuring seamless deployment and management on cloud at scale.

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Responsibilities

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  • Drive ML prototypes into production, leveraging your expertise in cloud-based environments.

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  • Monitor real-time performance of deployed models, analyze data, and proactively address performance issues.

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  • Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability.

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  • Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization.

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  • Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps.

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  • Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques.

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  • Contribute to the continuous improvement of team processes and workflows.

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  • Share knowledge and expertise to promote a collaborative learning environment.

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  • Build software to run and support machine-learning models.

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  • Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes.

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  • Participate in fast iteration cycles and adapt to evolving project requirements.

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  • Propose solutions and strategies to business challenges.

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  • Collaborate with Data Science team, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs.

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  • Conduct code reviews and mentor junior team members.

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  • Foster strong interpersonal skills, excellent communication skills, and collaboration skills within the team.

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  • Maintain proficiency in Python (3.x) and SQL programming languages.

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  • Stay up-to-date with ML frameworks, libraries, data structures, data modeling, and software architecture.

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  • Experience model deployment and monitoring.

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  • Ability to turn unstructured data into useful information.

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  • Strong problem-solving capabilities and analytical agility.

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  • Quickly learn new concepts and eager to explore and build new features.

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  • Bachelor's or master's degree in computer science, Data Science, or a related field.

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  • Minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments.

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Salary Range:$150,000 - $200,000 per year.

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Benefits

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We offer a competitive salary range of $150,000 - $200,000 per year, commensurate with experience, as well as comprehensive benefits, including medical, dental, and vision coverage, 401(k) matching, and paid time off.

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About EXL

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EXL is a leading provider of IT services and solutions, delivering end-to-end services across various industries.

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Location

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This role can be based in the United States or India.

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Language

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This role requires fluency in English language.

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