Machine Learning Engineer

NTC OVERVIEW

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 building robust computer vision algorithms. This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and 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 modern 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.

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: TS/SCI Clearance required.

Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility

Responsibilities

• Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists.
• Develop machine learning models and pipelines that are integral to mission success within this computer vision platform.

Qualifications

• 4+ years of relevant hands-on experience developing and implementing ML algorithms.
• Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code.
• Understanding of machine learning techniques and algorithms, data mining, and statistical analysis.
• Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred.
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD.
• Experience building and maintaining machine learning pipelines.
• Experience with container applications such as Docker, Kubernetes, OpenShift. Kubernetes is preferred.
• Practical programming and scripting skills (Python preferred).
• Understanding of data structures, data modeling and software architecture.
• A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams.
• Experience with synthetic data generation for training and evaluation of ML Models is a plus.
• Experience working with customers to better optimize their ML objectives.
• Fast learner, analytical thinker, creative, hands-on, strong communication skills.
• Able to work both independently and as part of a team.
• Excellent problem-solving skills and attention to detail.
• Experience working with LLMs for problem solving and code production in a safe and responsible manner.