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Pytorch Developer Jobs in Washington (NOW HIRING)

Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are ...

Parsons Corporation is currently searching for a full-time Software Developer Mid Level position at ... Machine learning framework experience (PyTorch, Tensorflow) * Docker/containerization experience

AWS Python Developer

Reston, VA · Hybrid

$52.25 - $72/hr

... PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. Build and maintain AI pipelines , from data processing to model deployment.

AWS Python Developer

Reston, VA · On-site +1

$52.25 - $72/hr

... PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. Build and maintain AI pipelines , from data processing to model deployment.

Parsons Corporation is currently searching for a full-time Software Developer Mid Level position at ... Machine learning framework experience (PyTorch, Tensorflow) * Docker/containerization experience

Parsons Corporation is currently searching for a full-time Software Developer Junior position at ... Machine learning framework experience (PyTorch, Tensorflow) * Docker/containerization experience

Senior Software Developer - TS/SCI

Herndon, VA · On-site

$56 - $74/hr

Parsons Corporation is currently searching for a full-time Sr. Software Developer position at our ... Machine learning framework experience (PyTorch, Tensorflow) * Docker/containerization experience

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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 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 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 cities in Washington are hiring for Pytorch Developer jobs? Cities in Washington with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Washington as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Akina, Inc.

Annapolis Junction, MD • On-site

$207K - $253K/yr

Full-time

Retirement, PTO

Posted 15 days ago


Job description

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8904-AIML2
Location: Annapolis Junction, Maryland

Description:

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.

The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements.

The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance.

The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols.
  • Provide system integration oversight.
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modelling, and data structures.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.

Position Required Skills:

  • Standard AIML2 labor category requirements.
  • Experience with standard machine language frameworks, e.g. PyTorch, TensorFlow.

AIML2 Qualifications:

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.

A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.

5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Salary Range: **$207k-$253k (Annually)

**The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers