Machine Learning Engineer

Overview Machine Learning Engineer at NT Concepts — Location: Herndon, VA (On-site, Remote). Clearance: TS/SCI Clearance required. 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. #J-18808-Ljbffr