Overview
On Site
Full Time
Skills
Management
Machine Learning Operations (ML Ops)
Python
Scripting
Big Data
Real-time
Streaming
Cloud Computing
Amazon Web Services
Amazon SageMaker
Algorithms
Machine Learning (ML)
Data Engineering
Snow Flake Schema
OSI
Network
Data Science
Statistics
Mathematics
Computer Science
SAP BASIS
Law
IT Service Management
Innovation
Collaboration
Recruiting
Insurance
Finance
Professional Development
Training
Leadership
CompTIA
Customer Service
Career Counseling
Apex
Oracle Application Express
Job Details
Job#: 2081197
Job Description:
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:
Education and Other Requirements
EEO Employer
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 have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
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.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Job Description:
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.
EEO Employer
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 have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
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.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.