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NT Concepts · 1 day ago

Machine Learning Engineer

Herndon, VA

Full-time

Hybrid

Mid, Senior Level

4+ years exp

NT Concepts is an innovative, agile company dedicated to solving critical challenges in National Security. They are seeking a Machine Learning Engineer to support research, design, and implement algorithms focused on protecting computer vision algorithms from adversarial AI attacks.

Big DataCloud ComputingCloud Data ServicesConsultingData Center AutomationData VisualizationGovTechInformation TechnologySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software 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 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

Qualification

Machine Learning algorithmsPythonPyTorchCloud platformsData structuresDevSecOpsContainer applicationsFast learnerAnalytical thinkerCommunication skillsProblem-solving skills

Required

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

Clearance: TS/SCI Clearance required