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Remote Machine Learning Architect Jobs in Virginia

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: * Collaborate with a cross ... Understanding of data structures, data modeling and software architecture. * A passion for (and ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Understanding of data structures, data modeling and software architecture. * A passion for (and ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Understanding of data structures, data modeling and software architecture. * A passion for (and ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Understanding of data structures, data modeling and software architecture. * A passion for (and ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Understanding of data structures, data modeling and software architecture. * A passion for (and ...

Senior Machine Learning Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Senior Machine Learning Engineer

Mclean, VA · On-site +1

$105.60K - $145.10K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Cloud-Based Machine-Learning System Architect Lead a team of engineers to design and implement ... Experience working with remote sensing data, ideally satellite imagery with an understanding of ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Richmond, VA · On-site +1

$101.40K - $133.60K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Machine Learning Engineer - Remote

Vienna, VA · Remote

$114.90K - $138K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Data Integration & Architecture Alignment * Work closely with Data Engineering to align ML ...

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Remote Machine Learning Architect information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What job categories do people searching Remote Machine Learning Architect jobs in Virginia look for? The top searched job categories for Remote Machine Learning Architect jobs in Virginia are:
What cities in Virginia are hiring for Remote Machine Learning Architect jobs? Cities in Virginia with the most Remote Machine Learning Architect job openings:
Machine Learning Engineer

Machine Learning Engineer

NT Concepts

Vienna, VA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer

Chantilly, VA

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 building advanced simulations using 3D tools such as PyTorch3D, Unity, or Unreal Engine to train computer vision models. This requires coding in Python with PyTorch/PyTorch3D, implementing and maintaining development environments and supporting ML tools. 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.

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: Active TS/SCI preferred. Ability to obtain/maintain Secret level security clearance. US Citizenship is 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:

  • 6+ 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, PyTorch3D, NumPy, TensorFlow)
  • Understanding of machine learning techniques and algorithms specifically focus on 3D computations and backpropagation using 3D tensors and transforms
  • Familiarity with existing simulation engines such as Blender, Unity, and Unreal Engine
  • Experience utilizing or building simulation engines to validate computer vision models performance
  • 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
  • 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
  • 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

Physical Requirements:

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at times.
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 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.