4 machine learning developer jobs at 4 companies in Litchfield, IL

2w
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Machine Learning Engineer 727
St. Louis, Missouri, United States
OnsiteFull Time
Freedom Technology Solutions Group
Freedom Technology Solutions Group: Provides geospatial and software engineering solutions for national security agencies.
1+ YOEExperience designing, training, deploying, and optimizing ML models for production; familiarity with MLOps, AWS, and geospatial or computer vision workflows; active TS/SCI clearance required.
Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, MLflow, Docker, Podman, Kubernetes, EKS, ECS, Lambda, SageMaker, GitLab CI/CD, Linux, PostgreSQL, PostGIS, Aurora, Oracle, Redis, Elasticache, GDAL, Rasterio, OGR
1mo
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Agentic AI Developer
O'Fallon, Illinois, United States
$99k-$225k/yr HybridFull Time
Booz Allen Hamilton
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
3+ YOE3+ years software development experience, Python, software design patterns, LLM application development, embeddings/vector DBs/semantic search, agent planning and AI safety knowledge, ability to obtain Secret clearance, Bachelor's degree.
Python, large language models, vector databases, Retrieval-Augmented Generation (RAG)
2mo
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Exploitation Specialist/Imagery Scientist (SAR)
Springfield or St. Louis
$150k-$195k/yr OnsiteFull Time
BTS Software Solutions
BTS Software Solutions: Provides software engineering and technical solutions for defense missions.
6+ YOETS/SCI clearance required, CI poly willingness; 6+ years SAR expertise, experience with SAR phenomenology, image formation, exploitation products, multi-INT analysis, and machine learning for overhead imagery.
Synthetic Aperture Radar (SAR), Machine Learning
4d
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Postdoctoral Research Associate - Engineering
St. Louis, Missouri, United States
OnsiteFull Time
Washington University in St. Louis
Washington University in St. Louis: Providing higher education and conducting advanced academic research.
PhD or equivalent required; preferred fields include atmospheric science, environmental engineering, earth observation, or computer science. Strong programming and machine learning experience desirable; ability to work with satellite retrievals, emissions and meteorology datasets, and chemical transport models.
Prithvi WxC, CTM