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Tensorflow Pytorch Jobs in Adelphi, MD (NOW HIRING)

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

S. degree in a technical field and 3+ years of experience • Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Experience with data processing and feature engineering • ...

ECS

AI Model Developer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). * Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React ...

Unissant

Senior Data Scientist

Washington, DC · On-site

$130 - $150/hr

Expert proficiency in advanced ML and AI: deep learning (TensorFlow, PyTorch, Keras), ensemble methods (XGBoost, Random Forest), Bayesian methods, and multi-objective optimization algorithms.

VTG

Data Scientist

Chantilly, VA · On-site

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

Smart Synergies

AI/ML Solutions Engineer

Rockville, MD · On-site

Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch). * Strong analytical and problem-solving abilities. * Excellent communication skills and teamwork capabilities. * Experience ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Adelphi, MD

Tensorflow Pytorch information

See Adelphi, MD salary details

$39.1K

$127.8K

$204.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 13, 2026, the average yearly pay for tensorflow pytorch in Adelphi, MD is $127,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $141,700.00 per year, depending on experience, location, and employer.

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.

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 job categories do people searching Tensorflow Pytorch jobs in Adelphi, MD look for? The top searched job categories for Tensorflow Pytorch jobs in Adelphi, MD are:
What cities near Adelphi, MD are hiring for Tensorflow Pytorch jobs? Cities near Adelphi, MD with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Adelphi, MD as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $127,842 per year, or $61.5 per hour.

AI/ML Solution Engineer

Lorvin Technologies

Rockville, MD • On-site

Other

Posted 2 days ago

New

Job description

Key Responsibilities
  • Design and implement state-of-the-art AI/ML solutions to improve business functions.
  • Collaborate with different departments to understand business needs and pinpoint AI/ML application opportunities.
  • Stay updated with AI/ML advancements and industry trends.
  • Develop scalable and efficient AI/ML solutions
  • Research and enforce best AI/ML practices to enhance system performance.
  • Uphold data governance and security protocols.
  • Continuously enhance existing AI/ML solutions for better efficacy.
  • Lead d manage cross-functional teams.
  • Provide technical guidance and support to internal teams and stakeholders. Troubleshoot and debug technical issues.
 
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • A minimum of 5 years of proven track record in developing and delivering AI/ML solutions.
  • Expert knowledge of machine learning, deep learning, and statistical modeling.
  • Strong understanding of technology trends and their potential impact on business.
  • Proficiency in Python, R, Java, or similar languages.
  • Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch).
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills and teamwork capabilities.
  • Experience with one or more cloud platforms (Azure/AWS preferred)
  • Experience using Git and modern DevOps practices

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