What are the responsibilities and job description for the Machine Learning Engineer position at NT Concepts?
We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus : As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on state-of-the-art robust computer vision algorithms. This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as MLFlow. Additionally, you will contribute to the program's source code, implementing data science techniques.
Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow SAFe agile practices, embrace the Ops ethos (DataOps / DevSecOps / MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve.
If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect.
Technical members of our solutions teams require little guidance, but love to learn, collaborate, and problem solve. This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.
Clearance : Active TS / SCI Clearance preferred. Minimum of active secret clearance required..
Location / Flexibility : Herndon, VA with remote flexibility. Must be local to the DC Metro area.
Responsibilities :
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and systems at scale. You'll implement machine learning applications using existing and emerging technology platforms to deliver business value to our clients. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology.
- Collaborate with a cross-functional data team comprising other AI / ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
- Develop machine learning models and pipelines that are integral to mission success within this computer vision platform.
Qualifications :
Physical Requirements :
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients' most critical challenges. Here, you'll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we'd love to have you move forward with us.
