General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation.
Requirements
- Expertise in the full life cycle of ML operations, or previously in an ML Ops role.
- Expertise in distributed version control systems and DevOps tools, such as GitLab, Git, Linux, Docker, Podman, and Kubernetes.
- Expertise in software development, with an emphasis on Python.
- Proficiency in cloud computing (Azure, AWS, Google Cloud)
- Proven experience leading the design, build, and deployment of complex and performant (reliable and scalable) software solutions in production.
- Experience with ML frameworks like PyTorch for model training and inference.
- Understanding of validation methods for ML models.
Responsibilities
- Expertise in the full life cycle of ML operations, or previously in an ML Ops role.
- Expertise in distributed version control systems and DevOps tools, such as GitLab, Git, Linux, Docker, Podman, and Kubernetes.
- Expertise in software development, with an emphasis on Python.
- Proficiency in cloud computing (Azure, AWS, Google Cloud)
- Proven experience leading the design, build, and deployment of complex and performant (reliable and scalable) software solutions in production.
- Experience with ML frameworks like PyTorch for model training and inference.
- Skills in data preparation and corpus filtering using databases like PostgreSQL and MySQL.
Other
- Requires a Bachelor’s degree in Engineering, or a related Science or Mathematics field.
- Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience.
- Department of Defense Secret security clearance is preferred at time of hire.
- U.S. citizenship is required.
- Excellent written and verbal communication abilities.
