AI Engineering Solutions Specialist
6 days ago
About the Role
">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.
">Responsibilities
">- ">
Drive ML prototypes into production, leveraging your expertise in cloud-based environments.
">Monitor real-time performance of deployed models, analyze data, and proactively address performance issues.
">Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability.
">Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization.
">Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps.
">Stay updated with the latest advancements in MLOps technologies and recommend new tools and techniques.
">Contribute to the continuous improvement of team processes and workflows.
">Share knowledge and expertise to promote a collaborative learning environment.
">Build software to run and support machine-learning models.
">Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes.
">Participate in fast iteration cycles and adapt to evolving project requirements.
">Propose solutions and strategies to business challenges.
">Collaborate with Data Science team, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs.
">Conduct code reviews and mentor junior team members.
">Foster strong interpersonal skills, excellent communication skills, and collaboration skills within the team.
">Maintain proficiency in Python (3.x) and SQL programming languages.
">Stay up-to-date with ML frameworks, libraries, data structures, data modeling, and software architecture.
">Experience model deployment and monitoring.
">Ability to turn unstructured data into useful information.
">Strong problem-solving capabilities and analytical agility.
">Quickly learn new concepts and eager to explore and build new features.
">Bachelor's or master's degree in computer science, Data Science, or a related field.
">Minimum of 4 years of hands-on experience in MLOps, deploying and managing machine learning models in production environments.
">
Salary Range:$150,000 - $200,000 per year.
">Benefits
">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.
">About EXL
">EXL is a leading provider of IT services and solutions, delivering end-to-end services across various industries.
">Location
">This role can be based in the United States or India.
">Language
">This role requires fluency in English language.
"]-
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