NTC OVERVIEW: 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 protecting computer vision algorithms from adversarial AI attacks. 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: Ability to obtain a TS/SCI Clearance required. US Citizenship is required. Location/Flexibility: Vienna, VA with remote flexibility 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. <ul> <li>Collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists. </li><li>Develop machine learning models and pipelines that are integral to mission success within this computer vision platform. </li></ul>Qualifications: <ul> <li>4+ years of relevant hands-on experience </li><li>Practical experience training, and deploying Machine Learning models (PyTorch preferred) </li><li>Understanding of data structures, data modeling and software architecture. </li><li>Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. </li><li>Experience with cloud platform (AWS, Azure and GCP), AWS preferred </li><li>Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps </li><li>Practical programming and scripting skills (Python preferred) </li><li>A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams </li><li>Experience building and maintaining machine learning pipelines </li><li>Experience with Kubernetes </li><li>Experience working with customers to better optimize their ML objectives </li><li>Fast learner, analytical thinker, creative, hands-on, strong communication skills </li><li>Able to work both independently and as part of a team </li><li>Excellent problem-solving skills and attention to detail. </li></ul>Physical Requirements: <ul><li>Prolonged periods sitting at a desk and working on a computer. </li><li>Must be able to lift up to 10-15 pounds at times. </li></ul> 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 and diverse 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. Together is Better We believe diversity and inclusion drive innovation, and that when we work together, we can accomplish anything. NT Concepts is a people-first, Equal Opportunity / Affirmative Action Employer-regardless of a person's race, color, religion, sex, gender identity, sexual orientation, national origin, disability, Veteran status, or any other protected class. If you have a disability and need accommodation, let us know. All resumes are held in confidence. NT Concepts participates in E-Verify.

Job Title: Machine Learning Engineer - remotePay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Candidates must have a BS in computer science with at least 8 years of professional experience with neural networks, Tensorflow and PyTorch.Responsibility: Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. Research and evaluate emerging technologies. Develop data science solutions based on tools and cloud computing infrastructure. Perform other duties as assigned.Qualifications: Bachelor's degree in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. Experience with cloud computing infrastructure. Advanced SQL skills. Experience with data visualization concepts and tools. Ability to convey complex business problems to technical solutions. Ability to work individually, and as part of a team. Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.Desired: Advanced degree in in computer science, mathematics, physics, statistics, or related field. Experience with Natural Language Processing. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI. A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.

Job Title: Machine Learning Engineer - remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Candidates must have a BS in computer science with at least 8 years of professional experience with neural networks, Tensorflow and PyTorch. Responsibility: • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned. Qualifications: • Bachelor’s degree in computer science, mathematics, physics, statistics, or related field. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. • Experience with cloud computing infrastructure. • Advanced SQL skills. • Experience with data visualization concepts and tools. • Ability to convey complex business problems to technical solutions. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: • Advanced degree in in computer science, mathematics, physics, statistics, or related field. • Experience with Natural Language Processing. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.

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Machine Learning Engineer Jobs in Vienna, VA

Machine Learning EngineerDecember 21, 2024

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Machine Learning EngineerDecember 18, 2024