Machine Learning Engineer

Overview

Machine Learning Engineer at NT Concepts —

Location:

Herndon, VA (On-site, Remote). Clearance: TS/SCI Clearance required.

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

• 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, Num Py, Tensor Flow, 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 Dev Sec Ops  specifically Git Lab CI/CD
• Experience building and maintaining machine learning pipelines
• Experience with container applications such as Docker, Kubernetes, Open Shift. 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.