Machine Learning Engineer 727

Full Time

St. Louis, MOPosted 5 days ago

Role Overview

Freedomconsulting is hiring a Machine Learning Engineer 727. This is a full-time role in St. Louis. Part of Freedomconsulting's Data Science hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Data Science roles is $160k-$220k (based on 352 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonJavaScriptAWSDockerKubernetesLinuxPostgreSQLRedis

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands-on engineering position focused on moving models from research into reliable production systems.

Responsibilities:

Da
Design, train, validate, and deploy machine learning models
Build production inference pipelines
Develop feature engineering workflows
Optimize model performance and resource utilization
Implement MLOps pipelines supporting continuous integration and deployment
Build scalable APIs exposing AI capabilities
Monitor model drift and operational performance
Collaborate with Data Scientists and Software Engineers
Deploy AI workloads into AWS cloud environments
Support computer vision, NLP, and geospatial AI initiatives
Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
Assist in implementing integration solutions in collaboration with development team members
Facilitate communication between stakeholders to ensure timely and effective requirements execution
Ensure activities align with established processes, standards, and mission objectives
Contribute to documentation of processes, procedures, integration patterns, and lessons learned

Key Technologies

A
Python
PyTorch
TensorFlow
Scikit-learn
Hugging Face
MLflow
Docker/Podman
Kubernetes/EKS
ECS
Lambda
SageMaker
GitLab CI/CD
Linux
PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
Redis, Elasticache
GDAL, Rasterio, OGR

Required Qualifications

Active TS/SCI clearance (eligible for CI Poly)
1-3(Junior), 3–7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
Experience working directly with customers or stakeholders in a technical or mission environment
Strong communication and coordination skills across technical and non-technical teams
Experience gathering and documenting requirements
Ability to manage multiple tasks and priorities in a dynamic environment
Familiarity with Agile development practices
Experience using GitLab or similar tools for collaboration and tracking

Desired Qualifications

Experience deploying production AI systems
Experience with computer vision
Experience with large language models
Geospatial AI experience
AWS AI services
Experience processing satellite imagery
Familiarity secure data movement environments
Experience working with enterprise service processes such as Service+
Development or scripting experience (Python, JavaScript, or similar)
Geospatial/GIS development a plus
Experience with data mapping or integration workflows (using JSON or other object notation)
Familiarity with operational dashboards and metrics reporting
Experience supporting customer requirement implementation and/or system integration efforts

What’s in It for You?

Flexible work environment

A team mentality – work with friendly, like-minded professionals

Work with innovative, cutting edge technologies

Enjoy extremely competitive compensation and benefits

A work-life balance you can count on

Opportunities to grow and advance your career on our dime

The Benefits You Get with Freedom

Amazing benefits including matching 401k, fully paid medical, and more

Generous paid time off – including paid site closure days

Competitive salary offerings

Paid training and tuition reimbursement

Referral bonuses

Fully paid life and disability

Annual logo wear allowance

Company sponsored events (game nights, holiday party, summer party, happy hours)

Interested in learning more about Freedom and our culture? Contact us today! We’re constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team.

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status

Applicant Federal & E-Verify Postings

VEVRAA Federal Contractor

Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at

Phone: 410-290-9035

Email: recruiting@goftsg.com

Equal Opportunity Employer, including disabled and veterans.

If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese

If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese

If you want to view the Pay Transparency Policy Statement, please click the link: English

About Freedomconsulting

Freedomconsulting

Data ScienceOn-site

103 other open roles at Freedomconsulting on TryApplyNow.

View all 104 roles at Freedomconsulting

Frequently Asked Questions

How do I apply for the Machine Learning Engineer 727 position at Freedomconsulting?

Use the Apply button above to submit your application directly to Freedomconsulting. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Machine Learning Engineer 727 position at Freedomconsulting located?

This position is based in St. Louis. Freedomconsulting has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Machine Learning Engineer 727 at Freedomconsulting earn?

Freedomconsulting has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Machine Learning Engineer 727 role at Freedomconsulting posted?

This role was posted on July 17, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Browse Data Science Jobs →