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Tensorflow Pytorch Jobs in Maryland (NOW HIRING)

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 • ...

Engineer

Owings Mills, MD · On-site

$80K - $90K/yr

Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. 3.Knowledge of data structures, algorithms, and software engineering ...

... TensorFlow, PyTorch, or scikit-learn. • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and ...

... TensorFlow, PyTorch, or scikit-learn. • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and ...

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

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

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

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

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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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 Maryland? For Tensorflow Pytorch jobs in Maryland, the most frequently searched job titles are:
What cities in Maryland are hiring for Tensorflow Pytorch jobs? Cities in Maryland with the most Tensorflow Pytorch job openings:
Infographic showing various Tensorflow Pytorch job openings in Maryland as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Senior AI/ML Developer with Security Clearance

Senior AI/ML Developer with Security Clearance

MasterPeace Solutions, Ltd.

Fort George G Meade, MD • On-site

Other

Posted 14 days ago


Job description

Qualifications: • Bachelor's degree plus 8-years of experience
• Python (i.e. SciKit-learn, TensorFlow, PyTorch), • R
• GIT
• Jupyter Notebooks. • Relational Database Management (with TensorFlow) Desired: proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as but not limited to, retrieval augmented generation (RAG) and model context protocol (MCP).