Machine Learning Engineer

This range is provided by Apex Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$50.00/hr - $110.00/hr

Job#: 3013061

Job Description
Apex Systems is partnering with one of our top Financial Services clients to find a talented Senior Machine Learning Engineer to join their growing team in St. Paul, MN. If you're looking for a role where you can make an impact, grow your skills, and work with a respected organization—this could be the perfect fit!

We are seeking a Senior Machine Learning Engineer to design, build, and implement machine learning solutions that address key business challenges. This role involves creating and deploying ML pipelines, operationalizing models in production environments, and establishing monitoring systems to ensure ongoing performance and reliability.

• Architect and deploy end-to-end ML pipelines to deliver solutions for business needs.
• Collaborate with data scientists and subject matter experts to identify and engineer features that enhance model accuracy and resilience.
• Partner with product managers, software engineers, and stakeholders to gather requirements, set priorities, and deliver ML-driven outcomes aligned with organizational goals.
• Develop real-time monitoring and logging tools to track model health and quickly resolve performance issues.
• Perform hyperparameter tuning to optimize models for accuracy and generalization on unseen datasets.
• Design and prototype ML systems, frameworks, and utilities capable of processing large-scale data efficiently.
• Convert experimental data science models into robust, scalable production implementations.
• Work closely with data scientists to troubleshoot and refine complex data workflows.

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (preferred).
• 2–3+ years of hands‑on experience coding in languages such as Python or Java.

• Strong background in data preprocessing, feature engineering, and model evaluation.
• Proficiency with containerization tools like Docker and Kubernetes.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Knowledge of ML frameworks and libraries (Tensor Flow, PyTorch, scikit‑learn, etc.).
• SQL expertise for data extraction and manipulation.
• Ability to thrive in fast‑paced, agile environments both independently and collaboratively.

• AWS Cloud certification.
• Experience with Spark and Java development.
• Familiarity with insurance or financial services industries.

• Excellent communication and collaboration skills for working with cross‑functional teams, vendors, and stakeholders.
• Strong analytical and problem‑solving abilities for structured and unstructured data.
• Demonstrated leadership in driving initiatives and delivering results.
• Detail‑oriented with a continuous learning mindset.

Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability and other insurance plans. Optional benefits include an ESPP (employee stock purchase program), a 401K program with company match after 12 months of tenure, an HSA on the HDHP plan, and a Support Linc Employee Assistance Program with up to 8 free counseling sessions. Additional professional development opportunities include access to training programs, certification prep, and a library of technical and leadership courses.

Apex Systems is a world‑class IT services company that serves thousands of clients across the globe. Members of the team enjoy a culture of innovation, collaboration, and continuous learning. Apex uses a virtual recruiter as part of the application process.

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 Benefits Department at [email protected] or 804‑523‑8228.

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting