hirly

Freedomconsulting

Machine Learning Engineer 727

St. Louis, MO

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Freedomconsulting first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
4 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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: [email protected]

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

Original posting on Freedomconsulting's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job
Machine Learning Engineer 727 – Freedomconsulting | hirly.me