Machine Learning Engineer

Job Description

Machine Learning Engineer
• Work with engineers and data scientists cross functionally and function as a consultant to evaluate the feasibility of machine learning in production deployments and recommend best viable solution
• Function as a consultant within and outside the team to identify gaps in tooling needs and partner with the leadership team to propose system requirements
• Collaborate within the team tounderstand problems with model path to production andwork with managers and vendors tohighlight recommendations to solve issues
• Analyze business problems, look at the models, and look at current and possible tools to speed up the path to production
• Lead the end-to-end machine learning ( ML ) product lifecycle, from requirements gathering to validation, implementation, deployment, and post-deployment
• Work closely with data engineering and machine learning operations ( MLOps ) functional roles to operationalize scalable data science solutions through automation and continuous delivery
What you will bring
• Bachelor s degree (U.S. or foreign equivalent) in computer science, software engineering, data science, analytics or related and 5+ years of experience in the job offered or related role OR Master s degree (U.S. or foreign equivalent) in computer science, software engineering, data science, analytics or related and 2+ years of experience in the job offered or related role
• 2+ years of programming experience with Python
• 2+ years of data manipulation experience using SQL and Python scientific stack
• 1+ year of experience with: extracting unstructured data from REST APIs, NoSQL databases and object storage; distributed computing frameworks; using ML frameworks and libraries; deploying applications using Platform-as-a-Service (PaaS) technologies; the current industry landscape of computer software, programming languages, and technologies in the field of data science and machine learning that serves up data and results from data science models to the organization; prototype implementation of new technology and frameworks and communicating results to a broad audience; data systems and how they interact with each other and troubleshooting problems related to it; containerized development, continuous integration (CI) and continuous delivery (CD); and version control tools
#LI-DNIInterested in this job ApplyApplyShareSorry the Share function is not working properly at this moment. Please refresh the page and try again later.Share on your newsfeedAbout Red HatRed Hat is the world s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.Benefits
• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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Keyskills :
version controlsprint planningopen sourcefamily planningdata manipulationhybrid cloudopen source softwaredata engineering