Apex Systems
Machine Learning Engineer
Apex Systems - Houston, Texas, United States, 77001
Work at Apex Systems
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Overview
Machine Learning Engineer
Type: Direct hire Location: Houston, Texas or Denver, Colorado Schedule: Alternating, 1 week onsite and 1 week remote. (50% remote and 50% onsite) Requirements and Expectations: 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations. Proven track record of implementing and scaling models in an operations or customers focused company Strong programming skills: Python and Cloud Implementation Scripting Experience with big data, real-time streaming data technologies, and cluster computing environments. Knowledge and exposure to cloud technologies, especially AWS. Implement data science algorithms in ML Studio SageMaker. Create systems and processes to monitor performance of ML algorithms in production. Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi Partner with our Architecture team to ensure endpoints, compute, and network considerations are built into solutions Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department. Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses. Design systems to balance cost and performance to meet business outcomes Education and Other Requirements: A Bachelor's degree (Master's preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field. Must be legally authorized to work in the US without sponsorship. Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com or 844-463-6178. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Type: Direct hire Location: Houston, Texas or Denver, Colorado Schedule: Alternating, 1 week onsite and 1 week remote. (50% remote and 50% onsite) Requirements and Expectations: 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations. Proven track record of implementing and scaling models in an operations or customers focused company Strong programming skills: Python and Cloud Implementation Scripting Experience with big data, real-time streaming data technologies, and cluster computing environments. Knowledge and exposure to cloud technologies, especially AWS. Implement data science algorithms in ML Studio SageMaker. Create systems and processes to monitor performance of ML algorithms in production. Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi Partner with our Architecture team to ensure endpoints, compute, and network considerations are built into solutions Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department. Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses. Design systems to balance cost and performance to meet business outcomes Education and Other Requirements: A Bachelor's degree (Master's preferred) in Statistics, Mathematics, Computer Science, or any other related quantitative field. Must be legally authorized to work in the US without sponsorship. Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com or 844-463-6178. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.