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Pytorch Developer Jobs in Bel Air, MD (NOW HIRING)

DPR Construction

MLOps Engineer

Baltimore, MD · On-site

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling ... PyTorch or Scikit-learn Required Skills * Experience with CI/CD processes and automation

Parsons

AI/ML Engineer

Aberdeen, MD

Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Parsons

AI/ML Engineer with Security Clearance

Aberdeen, MD · On-site

$88K - $118K/yr

Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit ... AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Perform data cleaning, preprocessing, and feature engineering on structured and unstructured ... Experience with Deep Learning frameworks like TensorFlow or PyTorch. * Familiarity with Hugging ...

Pwc

AI Solutions Engineering Delivery Lead

Baltimore, MD

$101K - $134K/yr

... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...

AIToolboard

AI Research Scientist

Baltimore, MD · On-site

$140 - $200/hr

Proficiency in programming languages such as Python and experience with AI frameworks (e.g., TensorFlow, PyTorch) are required. Excellent problem-solving, analytical, and critical thinking skills are ...

Parsons

AI/ML Software Engineer

Aberdeen, MD · On-site

$103K - $181K/yr

Required: B.S. in Computer Science or Engineering and 5+ years of post-degree machine learning ... PyTorch or TensorFlow) * Familiarity with virtual environment tools such as Conda/uv/Poetry, or ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Bel Air, MD?

For Pytorch Developer jobs in Bel Air, MD, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Bel Air, MD look for?

The top searched job categories for Pytorch Developer jobs in Bel Air, MD are:

What cities near Bel Air, MD are hiring for Pytorch Developer jobs?

Cities near Bel Air, MD with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

AI_ML_ Engineering - LEAD

Applied Thought Auditors & Consultants Inc.

Baltimore, MD • On-site

$101K - $134K/yr

Other

Posted 4 days ago

Job description

AI_ML_ Engineering  -  LEAD

In-Person Interview

  • Bachelor''''s degree in Computer Science, Data Science, Engineering, or a related field (Master''''s preferred).
  • 16+ years of experience in software or data engineering, with at least 3 years focused on ML systems or MLOps in a production environment.
  • Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units.
  • Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
  • Hands-on experience with MLOps tooling: Kubeflow, MLflow, Airflow, or equivalent.
  • Experience with cloud-native data and ML services on AWS.
  • Working knowledge of LLMs, prompt engineering, and RAG architecture patterns.
  • Experience with containerization and orchestration (Docker, Kubernetes).

Strong understanding of data engineering concepts: pipelines, feature stores, data quality, and lineage.

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