Job#: 3027813 Job Description: Machine Learning Engineer (Contract to Hire)
Location: Richmond, VA (Hybrid 2-3x per week)
We're seeking a Machine Learning Engineer to join a growing data science team focused on building and operationalizing AI-driven solutions in a complex enterprise environment. This role is ideal for someone who enjoys working close to the business, owning models end to end, and ensuring solutions are scalable, maintainable, and production ready.
This position leans slightly more toward data science than pure ML platform engineering and will play a key role in expanding AI usage over the next several months.
What You'll Do
- Design, build, and maintain machine learning models used in pricing and analytics workflows
- Integrate ML and AI solutions into existing enterprise systems and APIs
- Monitor model performance and address data drift, model drift, and concept drift
- Collaborate with engineering and business partners to translate business needs into ML solutions
- Support the ML lifecycle from development through production and ongoing maintenance
Required Skills & Experience
- Strong Python experience for machine learning and data analysis
- Hands-on experience with Databricks and distributed data processing (PySpark)
- Familiarity with Google Cloud Platform-based ML workflows, including tools like Vertex AI and BigQuery. (Open to other cloud provider experience; i.e. AWS or Azure)
- Solid understanding of supervised and unsupervised machine learning, especially regression and clustering
- Experience with ML observability tools such as MLflow, Evidently, WhyLabs, or similar
- Experience with CI/CD practices and tools like GitHub Actions
- Ability to work with structured and unstructured data from enterprise systems
Preferred Qualifications
- Experience with pricing analytics, pricing optimization, or revenue management
- Familiarity with common ML libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow
- Exposure to feature stores, model registries, and automated retraining workflows
- Understanding of data governance, security, and compliance in ML systems
Additional Details
- Contract-to-hire opportunity
- Cloud-based, modern data and ML stack
- Preference for candidates local to Richmond, VA
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.
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