Machine Learning Engineer

Apex Systems; Fort Snelling Unorganized Territory (MN, WI); On-site; USD 68,880 - 151,536; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401K program with company match

Employee stock purchase program

Professional development opportunities

Job summary

A leading IT services company is seeking a Senior Machine Learning Engineer in Fort Snelling, Minnesota. This role is focused on designing, building, and implementing machine learning solutions that address key business challenges. Responsibilities include deploying ML pipelines, collaborating with various teams to enhance models, and ensuring model performance. Ideal candidates should have a strong background in data preprocessing, a Bachelor's degree in a relevant field, and proficiency in Python or Java, along with experience in cloud platforms like AWS or GCP.

Qualifications

• 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.

Responsibilities

• Design, build, and implement machine learning solutions.
• Architect and deploy end-to-end ML pipelines.
• Collaborate with teams to enhance model accuracy.

Skills

Data preprocessing

Feature engineering

Model evaluation

Python

Java

Cloud platforms (AWS, GCP, Azure)

SQL expertise

Education

Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

Spark

Job description

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.

Base pay range

$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!

Position Summary

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.

Key Responsibilities

• 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.

Qualifications

• 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.

Core Skills

• 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 (TensorFlow, PyTorch, scikit‑learn, etc.).
• SQL expertise for data extraction and manipulation.
• Ability to thrive in fast‑paced, agile environments both independently and collaboratively.

Preferred Skills

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

Soft Skills

• 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.

Benefits Overview

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 SupportLinc 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

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.

EOV Statement

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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting