Sr. ML Engineer
Apex Systems, Stafford, VA, United States
Machine Learning Engineer (Contract to Hire)
Location:
Richmond, VA (Hybrid 2-3 days per week) (Open to candidates outside of the area who can travel in 1 time per month)
We're seeking a Machine Learning Engineer to join a growing data science team focused on building and operationalizing AIdriven solutions in a complex enterprise environment. This role is ideal for someone who enjoys working close to the business, owning models endtoend, and ensuring solutions are scalable, maintainable, and productionready.
This position leans slightly more toward
applied data science and production ML
than pure ML platform engineering and will play a key role in expanding enterprisewide AI usage over the next several months.
What You'll Do
Design, build, and maintain machine learning models used in
pricing and analytics workflows
Contribute to a
multicomponent pricing engine , blending traditional statistical modeling and ML
Own the
full ML lifecycle : requirements intake, data understanding, model development, deployment, and postproduction support
Deploy and scale models that will be used
across the enterprise , not just by small or isolated teams
Integrate ML/AI solutions into existing enterprise systems, services, and APIs
Partner with data engineering, infrastructure, and downstream teams to deploy models into production environments
Monitor and maintain models in production, including
data drift, model drift, and concept drift
Establish observability thresholds and support
postdeployment hypercare
Translate business and pricing requirements into technically sound ML solutions
Required Skills & Experience
Strong
Python
experience for machine learning and data analysis
Handson experience with
Databricks
and distributed data processing (PySpark)
Experience supporting
production ML deployments
through the full SDLC
Familiarity with
cloudbased ML workflows
(GCP preferred: Vertex AI, BigQuery; open to AWS or Azure)
Solid understanding of
supervised and unsupervised learning , especially regression and clustering
Experience with
ML observability and monitoring
(MLflow, Evidently, WhyLabs, or similar)
Experience with
CI/CD practices
and tools such as GitHub Actions
Ability to work with
structured and unstructured enterprise data
Comfort operating in environments with
security, privacy, and compliance standards
(e.g., healthcare or regulated industries)
Preferred Qualifications
Experience with
pricing analytics, pricing optimization, or revenue management models
Familiarity with ML libraries such as
scikitlearn, XGBoost, PyTorch, or TensorFlow
Exposure to
feature stores, model registries, and automated retraining workflows
Experience designing ML solutions intended for
high scale and enterprise adoption
Prior work in environments where models move beyond experimentation into longterm production use
Additional Details
Contracttohire
opportunity
Modern, cloudbased data and ML stack
Strong preference for
local candidates in the Richmond, VA area
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth 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. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.
Everforth Apex Benefits Overview:
Everforth 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. Everforth 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, Everforth 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. Everforth 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 Everforth Apex team member can provide.
Location:
Richmond, VA (Hybrid 2-3 days per week) (Open to candidates outside of the area who can travel in 1 time per month)
We're seeking a Machine Learning Engineer to join a growing data science team focused on building and operationalizing AIdriven solutions in a complex enterprise environment. This role is ideal for someone who enjoys working close to the business, owning models endtoend, and ensuring solutions are scalable, maintainable, and productionready.
This position leans slightly more toward
applied data science and production ML
than pure ML platform engineering and will play a key role in expanding enterprisewide AI usage over the next several months.
What You'll Do
Design, build, and maintain machine learning models used in
pricing and analytics workflows
Contribute to a
multicomponent pricing engine , blending traditional statistical modeling and ML
Own the
full ML lifecycle : requirements intake, data understanding, model development, deployment, and postproduction support
Deploy and scale models that will be used
across the enterprise , not just by small or isolated teams
Integrate ML/AI solutions into existing enterprise systems, services, and APIs
Partner with data engineering, infrastructure, and downstream teams to deploy models into production environments
Monitor and maintain models in production, including
data drift, model drift, and concept drift
Establish observability thresholds and support
postdeployment hypercare
Translate business and pricing requirements into technically sound ML solutions
Required Skills & Experience
Strong
Python
experience for machine learning and data analysis
Handson experience with
Databricks
and distributed data processing (PySpark)
Experience supporting
production ML deployments
through the full SDLC
Familiarity with
cloudbased ML workflows
(GCP preferred: Vertex AI, BigQuery; open to AWS or Azure)
Solid understanding of
supervised and unsupervised learning , especially regression and clustering
Experience with
ML observability and monitoring
(MLflow, Evidently, WhyLabs, or similar)
Experience with
CI/CD practices
and tools such as GitHub Actions
Ability to work with
structured and unstructured enterprise data
Comfort operating in environments with
security, privacy, and compliance standards
(e.g., healthcare or regulated industries)
Preferred Qualifications
Experience with
pricing analytics, pricing optimization, or revenue management models
Familiarity with ML libraries such as
scikitlearn, XGBoost, PyTorch, or TensorFlow
Exposure to
feature stores, model registries, and automated retraining workflows
Experience designing ML solutions intended for
high scale and enterprise adoption
Prior work in environments where models move beyond experimentation into longterm production use
Additional Details
Contracttohire
opportunity
Modern, cloudbased data and ML stack
Strong preference for
local candidates in the Richmond, VA area
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth 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. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.
Everforth Apex Benefits Overview:
Everforth 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. Everforth 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, Everforth 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. Everforth 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 Everforth Apex team member can provide.