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Job#: 3029329
Job Description:
ML Engineer
Location: 100% Remote (client sits in Dearborn, MI)
Employment Type: Contract
Role Overview
We are seeking an AI / ML Engineer to help build and operationalize machine learning capabilities, including model development, deployment, and agent-based systems in a production environment. This role has a heavy MLOps focus where the engineer will help shape and establish practices within a developing MLOps platform. The position is an equal split between ML model development and ML enablement.
Key Responsibilities
Experience:
The anticipated pay range for this position is $60.00 to $80.00 per hour. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to, the candidate's experience, skills, and geographic location.
We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Apex uses a virtual recruiter as part of the application process. Click for more details.
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 Benefits 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 uses a virtual recruiter as part of the application process. Click for more details.
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#: 3029329
Job Description:
ML Engineer
Location: 100% Remote (client sits in Dearborn, MI)
Employment Type: Contract
Role Overview
We are seeking an AI / ML Engineer to help build and operationalize machine learning capabilities, including model development, deployment, and agent-based systems in a production environment. This role has a heavy MLOps focus where the engineer will help shape and establish practices within a developing MLOps platform. The position is an equal split between ML model development and ML enablement.
Key Responsibilities
- Build ML models using PyTorch, working with real-time data to solve production problems.
- Collaborate with data engineers on data inputs and pipeline construction.
- Develop agents in Google Cloud Platform to support the data and ML ecosystem.
- Utilize prompt engineering and help operationalize ML workflows.
- Deploy ML models into production, understanding concepts like model versioning, monitoring, retraining, and data drift.
- Contribute to an evolving environment by helping to define tooling and standards.
Experience:
- Proven experience building ML models with PyTorch and deploying them into a production environment.
- Familiarity with MLOps concepts and working with real-time data.
- Experience with ML deployment and orchestration, preferably with Vertex AI.
- Production experience in a core cloud environment, such as Google Cloud Platform. Candidates must have production ML experience.
- Comfort working in environments with evolving tooling and standards.
- Python
- PyTorch
- Vertex AI
- Google Cloud Platform
- Master's candidates from top programs with hands-on ML experience and exposure to production-level systems are encouraged to apply.
The anticipated pay range for this position is $60.00 to $80.00 per hour. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to, the candidate's experience, skills, and geographic location.
We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Apex uses a virtual recruiter as part of the application process. Click for more details.
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 Benefits 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 uses a virtual recruiter as part of the application process. Click for more details.
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.
Salary : $60 - $80