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Machine Learning Engineer
97,258 - 131,584 USD
General Dynamics Information Technology
Olive Street 614, St. Louis
97,258 - 131,584 USD
Requirements
Must:
- Clearance Level Must Currently Possess: Top Secret/SCI
- Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph
- US Citizenship Required: Yes
- Education: Bachelor or Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
- Experience: 5+ years of related experience
Technologies
CI/CD
CUDA
GitLab
Helm
Machine Learning
PyTorch
REST
Responsibilities
As a Machine Learning Engineer at GDIT, I'm responsible for delivering simple solutions to complex problems. I will tailor cutting-edge solutions to meet our clients' unique requirements, putting the end user's experience first while driving my career growth forward. My role involves:
- Rapidly prototyping containerized multimodal deep learning solutions and associated data pipelines to enhance GeoAI capabilities and improve analytic workflows, addressing key intelligence questions.
- Implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for tasks such as image retrieval, segmentation, AI-assisted labeling, object detection, and visual question answering, using geospatial datasets including satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
Description
At GDIT, our people are our differentiator. I help ensure safety today and intelligence for tomorrow. I embrace the opportunity to work as a crucial resource for our nation's security, using my expertise to protect the country from various threats. To succeed in this role, I should have demonstrated experience with CI/CD practices, Python, deep learning frameworks like PyTorch or TensorFlow, and version control systems such as GitLab. Additionally, strong technical skills in using containerized applications and GPU computing will be essential.
We offer an environment where I can thrive, with benefits such as a 401K with company match, comprehensive health packages, dedicated career mobility support, paid education, and professional growth opportunities. I can look forward to working on cutting-edge technology while enjoying vacation and paid holidays.
GDIT nurtures a culture of diversity and is committed to equal opportunity in the workplace. I will receive fair consideration for employment, regardless of personal characteristics or background.
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How many ML, AI Developer jobs are in the United States?
Currently, there are 1884 Machine-Learning openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
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The US is one of the best countries to work as a ML, AI Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for ML, AI Developer jobs in the United States?
Capgemini, Everlight Solar, Christus Health, Danfoss, The Wills Group, Inc, Amex, Astrion among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Leidos as they are hiring for 417 different ML, AI Developer jobs in the United States. They are probably quite committed to find good ML, AI Developers.
The company with most openings is Leidos as they are hiring for 417 different ML, AI Developer jobs in the United States. They are probably quite committed to find good ML, AI Developers.