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Pytorch Developer Jobs in Alexandria, VA (NOW HIRING)

Noblis

AI/ML Engineer, Mid

Reston, VA · On-site

Develop and maintain DevOps and MLOps pipelines to streamline model development, testing ... PyTorch, Docker, and Kubernetes) * Full-stack software development experience using Python and ...

Probity Inc.

KD Applications Developer

Herndon, VA · On-site

$100 - $125/hr

Currently seeking a Senior Full Stack Web Application Developer in Herndon VA to work on a suite of ... Fundamental understanding around machine learning frameworks such as PyTorch, Keras, Tensorflow ...

Noblis

AI/ML Engineer

Reston, VA · On-site

... DevOps best practices * U.S. Citizenship is required Desired Qualifications * Proficiency in Python with hands-on experience using leading machine learning frameworks, including TensorFlow, PyTorch ...

Parsons

Forensic Software Developer TS

Quantico, VA

$103K - $181K/yr

Work closely with engineers, analysts, and other developers to brainstorm and implement creative ... e.g., PyTorch, TensorFlow) to enhance the team's capabilities. Participate in brainstorming ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Alexandria, VA?

For Pytorch Developer jobs in Alexandria, VA, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Alexandria, VA look for?

The top searched job categories for Pytorch Developer jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Pytorch Developer jobs?

Cities near Alexandria, VA with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

Systems Engineer (SE1/SE2/SE3) - Data Science & Complex Systems

WILLCOR, Inc.

Annapolis Junction, MD • On-site

Full-time

Re-posted 27 days ago

Job description

Job Title: Systems Engineer (SE1/SE2/SE3) - Data Science & Complex Systems
Location: Annapolis Junction , MD
Required Clearance: TS/SCI with CI Polygraph
Salary: Commensurate with experience
Position Overview:
We are seeking a motivated and technically skilled Systems Engineer(Levels SE1-SE3) to support systems engineering efforts with a focus on complex systems of systems and data science applications. This role involves working with unstructured and semi-structured data sources, developing machine learning models, and applying advanced analytical techniques to support mission-critical objectives.
Key Responsibilities:
  • Apply systems engineering principles to analyze, design, and manage complex systems of systems.
  • Develop and apply machine learning and natural language processing (NLP) techniques to extract and process data from a wide range of unstructured and semi-structured documents (e.g., PDFs, CONOPS, DODAF artifacts).
  • Utilize tools such as Apache Tika and PDFMiner for data extraction and transformation.
  • Perform qualitative analysis and develop intuitive data visualizations to support technical assessments and decision-making.
  • Develop custom data processing pipelines and analytical models using programming languages such as Python or R.
  • Design, train, and deploy ML models using frameworks such as TensorFlow and PyTorch.
  • Collaborate with multidisciplinary teams to define requirements, develop solutions, and deliver high-quality engineering products.
Required Qualifications:
  • Bachelor's degree or higher in Systems Engineering, Computer Science, Data Science, or a related technical field.
  • Experience in systems engineering, particularly with systems of systems.
  • Proficiency in Python and/or R, with experience using TensorFlow or PyTorch for ML development.
  • Strong understanding of NLP techniques and data science fundamentals.
  • Experience processing unstructured or semi-structured data using tools like Apache Tika, PDFMiner, or similar.
  • Ability to conduct qualitative analyses and create compelling visual representations of data.
  • Strong written and verbal communication skills.

Preferred Qualifications:
  • Experience working with Department of Defense (DoD) documents and architectures (e.g., CONOPS, DODAF).
  • Familiarity with model-based systems engineering (MBSE) principles.
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About WILLCOR

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

College Park, MD, US

Year founded

2002

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