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Tensorflow Pytorch Jobs in Maryland (NOW HIRING)

IBM

Senior Research Scientist - TS/SCI (FSP)

Bethesda, MD · On-site

$105K - $134K/yr

Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, leveraging expertise in NLP, ML, and AI frameworks such as TensorFlow, PyTorch ...

Geico

Machine Learning Engineer II

Bethesda, MD · Hybrid

$105K - $215K/yr

ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices, such as CI/CD, containerization, and version control; Cloud platforms (AWS, Azure, GCP) and ability to ...

GEICO

Machine Learning Engineer II

Bethesda, MD · On-site

$105K - $215K/yr

ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices, such as CI/CD, containerization, and version control; Cloud platforms (AWS, Azure, GCP) and ability to ...

Leidos

Sr. Data Scientist

Fort George G Meade, MD · On-site

$107K - $195K/yr

SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks. Ability to provide database administration for relational databases and TensorFlow. * Security Clearance Requirement

MANTECH

Research Scientist

Catonsville, MD · On-site

Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch * Executing provided data sets and programs to evaluate system and model performance * Analyzing benchmark ...

MANTECH

Research Scientist

Catonsville, MD · On-site

Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch * Executing provided data sets and programs to evaluate system and model performance * Analyzing benchmark ...

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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 job categories do people searching Tensorflow Pytorch jobs in Maryland look for? The top searched job categories for Tensorflow Pytorch jobs in Maryland are:
What cities in Maryland are hiring for Tensorflow Pytorch jobs? Cities in Maryland with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
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.
Agentic AI Machine Learning Engineer

Agentic AI Machine Learning Engineer

Booz Allen Hamilton

Annapolis Junction, MD • On-site

$84K - $112K/yr

Full-time

Posted 18 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is looking for an experienced machine learning engineer to create AI and ML enabled solutions for the Defense and Intelligence sectors. The role involves designing, implementing, and optimizing AI systems to enhance data accessibility and operational efficiency.
Responsibilities:
• design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems
• ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
Qualifications:
Required:
• 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
• 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
• 3+ years of experience working in cloud environments, including AWS and Azure
• 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
• Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
• Experience in connecting Agents to APIs, Cloud platforms, or databases
• Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
• TS/SCI clearance
• Bachelor’s degree
Preferred:
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
• Experience with client engagements, client-facing project work, and business development
• Experience with project work in deep learning, computer vision, NLP, or signal processing
• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services
• Ability to adapt in a rapidly changing environment
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
• TS/SCI clearance with a polygraph
• Master's degree
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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