Software Engineer | Backend Development |Python |amp| Machine Learning|

Job highlights
Identified by Google from the original job post
Qualifications
United States citizenship and an active TS/SCI security clearance
Bachelor of Science (BS) in computer science or closely related field
Minimum 3 years’ experience in software engineering
Proficiency in Python
Experience designing and implementing machine learning pipelines to deploy machine learning models in containerized environments
Familiarity with Docker, microservice architectures, and orchestration tools such as CDK/CloudFormation, Terraform, or Ansible
Practical knowledge of Airflow or similar ML data pipeline tools such as MLFlow or AWS SageMaker
Familiarity with deploying and debugging cloud-based systems on platforms such as AWS ECS/EKS/EC2
Comfortable working in a collaborative environment and ensuring code quality through code reviews, linting, and CI/CD
Experience troubleshooting and resolving software and system integration issues in Linux environments
Benefits
Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs
Company-paid, medical, dental and vision insurance
Up to 45 days of PTO
Up to 12% 401k match - Traditional and Roth options available
Student loan repayment assistance\
Paid Family Leave
Tuition Reimbursement - $5250/year available
Referral bonus program
Free tickets to sporting events, theater, concerts and more
Free, onsite fitness center, onsite cafeteria with reduced-cost meals
A collaborative, creative and supportive culture where you will be encouraged to push boundaries, take risks and enjoy the rewards
Responsibilities
Our ideal candidate will have an understanding of machine learning pipelines and a proven track record in the automation of ML training and evaluation pipelines
Key responsibilities include developing and maintaining infrastructure for ML training pipelines and applications, integrating machine learning models into cloud-based systems, and ensuring the seamless deployment of services to cloud environments using Docker containers
Job description
Expedition Technology is seeking a dynamic and innovative backend software engineer to join our team and contribute to cutting-edge machine learning applications that support the Department of Defense and Intelligence Community. If you are a software engineer with a TS/SCI clearance who possesses a blend of technical expertise, creative problem-solving skills, and a passion for pushing the boundaries of what is possible, this is the opportunity for you.

Our ideal candidate will have an understanding of machine learning pipelines and a proven track record in the automation of ML training and evaluation pipelines. Key responsibilities include developing and maintaining infrastructure for ML training pipelines and applications, integrating machine learning models into cloud-based systems, and ensuring the seamless deployment of services to cloud environments using Docker containers.

Join our expedition and help shape the future!

Here’s what you need to succeed:
• United States citizenship and an active TS/SCI security clearance
• Bachelor of Science (BS) in computer science or closely related field
• Minimum 3 years’ experience in software engineering
• Proficiency in Python
• Experience designing and implementing machine learning pipelines to deploy machine learning models in containerized environments
• Familiarity with Docker, microservice architectures, and orchestration tools such as CDK/CloudFormation, Terraform, or Ansible
• Practical knowledge of Airflow or similar ML data pipeline tools such as MLFlow or AWS SageMaker
• Familiarity with deploying and debugging cloud-based systems on platforms such as AWS ECS/EKS/EC2
• Comfortable working in a collaborative environment and ensuring code quality through code reviews, linting, and CI/CD
• Experience troubleshooting and resolving software and system integration issues in Linux environments
• Experience with ML frameworks such as PyTorch/PyTorch Lightning and improving training workflows in cloud-based environment is a plus

Who is Expedition Technology?

Expedition Technology designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers’ most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia’s high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day.

Interested in joining our team? Let’s explore together.

To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn.

What do we offer our team?

Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Benefits include:
• Company-paid, medical, dental and vision insurance
• Up to 45 days of PTO
• Up to 12% 401k match - Traditional and Roth options available
• Student loan repayment assistance\
• Paid Family Leave
• Tuition Reimbursement - $5250/year available
• Referral bonus program
• Free tickets to sporting events, theater, concerts and more
• Free, onsite fitness center, onsite cafeteria with reduced-cost meals
• A collaborative, creative and supportive culture where you will be encouraged to push boundaries, take risks and enjoy the rewards.

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.

United States
Virginia
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