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Tensorflow Pytorch Jobs in Washington (NOW HIRING)

Senior Applied Scientist

Reston, VA · On-site

$95K - $130K/yr

TensorFlow, PyTorch, MXNet etc). * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.). * Proven track record in evaluating ...

Senior Applied Scientist

Reston, VA · On-site

$95K - $130K/yr

TensorFlow, PyTorch, MXNet etc). * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.). * Proven track record in evaluating ...

Experience with machine learning frameworks (TensorFlow/PyTorch) and statistical modeling * Experience with data visualization tools (Tableau, Power BI) * Experience with large-scale enterprise or ...

Posted today

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras * Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions * Experience with ...

... learn, TensorFlow, PyTorch) • Strong foundation in statistics, probability, and data analysis techniques • Experience with SQL and working with large datasets • Experience with data ...

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:

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 ...

Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Tableau, Power BI EDUCATION Bachelor of Science in Statistics and Mathematics or other related field o preferred Master of Science in Computer Science ...

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TensorFlow, PyTorch, MXNet etc) * Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.) What You Should Know About This Team * The ...

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... learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling, hypothesis testing, and data visualization. • Experience with big data platforms (e.g., Spark, Hadoop) and cloud ...

Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. How You'll Grow * Passion for leveraging cutting ...

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Showing results 41-60

Tensorflow Pytorch information

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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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.

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 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.

What job categories do people searching Tensorflow Pytorch jobs in Washington look for?

The top searched job categories for Tensorflow Pytorch jobs in Washington are:

What cities in Washington are hiring for Tensorflow Pytorch jobs?

Cities in Washington with the most Tensorflow Pytorch job openings:

Machine learning Engineer & AI Platform Developer - 10+years of experirnce

Two95 International Inc.

Herndon, VA • On-site

Contractor

Re-posted yesterday


Job description

Job Title: Machine Learning Engineer & AI Platform Developer - 10+years experience
Location: Remote
Type: Full-Time
Job Description:
We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.
Key Responsibilities:
  • Design and develop machine learning models and AI platforms to solve complex problems.
  • Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
  • Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
  • Collaborate with cross-functional teams to integrate machine learning models into existing applications.
  • Optimize and monitor model performance, making improvements as necessary.
  • Stay current with emerging AI technologies and best practices to drive continuous improvement.
  • Document processes, code, and model performance for future reference.

Requirements
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
  • Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Solid understanding of algorithms, data structures, and software engineering principles.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work collaboratively in a fast-paced environment.

TWO95 International logo

About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

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