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Tensorflow Pytorch Jobs in Washington (NOW HIRING)

Extensive experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms: Working knowledge of Google Cloud and Azure. * Design Tools: Proficiency in Figma, Adobe XD, or Sketch. * Databases:

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop * The development and use of Visualizatin Tools ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). * Proficient with Databricks, MLflow, and PySpark. * Solid understanding of model ...

Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. * Ability to implement and modify complex neural network architectures. * Skilled in using data manipulation and ...

Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). * Proficient with Databricks, MLflow, and PySpark. * Solid understanding of model ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Washington? For Tensorflow Pytorch jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Tensorflow Pytorch jobs? Cities in Washington with the most Tensorflow Pytorch job openings:
4333 AI/ML Engineer with Security Clearance

4333 AI/ML Engineer with Security Clearance

Procession Systems

Reston, VA • On-site

Other

Re-posted 25 days ago


Job description

OVERVIEW: We are seeking an experienced AI/ML Engineer to design, develop, and deploy advanced artificial intelligence and machine learning solutions in support of mission-critical systems. The ideal candidate has a strong background in AI/ML architecture and solution design, extensive Python experience, and the ability to work in a secure, classified environment. GENERAL DUTIES: * Design and architect scalable AI/ML solutions from concept through deployment * Develop, train, evaluate, and optimize machine learning models for real-world applications * Translate mission and business requirements into technical AI/ML architectures * Build and maintain production-grade ML pipelines, including data ingestion, model training, validation, and deployment * Collaborate with software engineers, data engineers, and stakeholders to integrate AI/ML capabilities into existing systems * Evaluate emerging AI/ML technologies and recommend solutions aligned with system and mission needs * Ensure solutions meet performance, security, and compliance requirements within a classified environment * Document system designs, models, and technical approaches for both technical and non-technical audiences REQUIRED QUALIFICATIONS: * Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical field * 7+ years of professional experience in AI/ML engineering or closely related roles * Strong proficiency in Python for AI/ML development * Demonstrated experience in designing and architecting AI/ML solutions , not just model development * Solid understanding of machine learning algorithms, statistical modeling, and data structures * Experience deploying AI/ML solutions in production environments DESIRED QUALIFICATIONS: * Master's degree or PhD in a relevant technical field * Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) * Familiarity with MLOps tools and practices * Experience working in government, defense, or intelligence environments * Knowledge of cloud or hybrid AI/ML architectures CLEARANCE: * Top Secret minimum

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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

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