[Remote] Data Scientist (MLOps Engineer)

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. H&R Block is a company focused on helping clients and communities, fostering an inclusive culture. They are seeking an MLOps Engineer responsible for building and maintaining infrastructure for machine learning models, collaborating closely with data scientists to ensure efficient workflows and system reliability. Responsibilities Design, implement, and maintain robust ML infrastructure and tooling Automate the deployment, monitoring, and scaling of ML models in production Collaborate with ML engineers and data scientists to streamline model development and deployment workflows Monitor and troubleshoot ML pipelines, ensuring system reliability and performance Support team members through code reviews and shared best practices Contribute to documentation and continuous improvement of MLOps processes Skills Bachelor's degree in Computer Science, Engineering, or a related field Proficiency in Python and experience with software development practices Strong problem-solving skills and attention to detail Experience working in collaborative, cross-functional teams Familiarity with cloud platforms such as AWS, Azure, or GCP Hands-on experience with Docker, Terraform, and Azure DevOps Benefits Medical and prescription drug coverage H&R Block Retirement Savings Plan (401(k) Plan) Employee Assistance Program (virtual) fitness center programs Associate discount program Business Travel Accident Insurance Associate Tax Prep benefit Company Overview H&R Block is a tax solutions provider that offers tax returns, filings, and advisory services for individuals and businesses. It is a sub-organization of Ameriprise Financial. It was founded in 1955, and is headquartered in Kansas City, Missouri, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship H&R Block has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.
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