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Pytorch Huggingface Jobs in Pennsylvania (NOW HIRING)

Gehc

AI Scientist

North East, PA · On-site

Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc. * Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods. * Experience ...

Gehc

AI Scientist

North East, PA · On-site

Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc. * Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods. * Experience ...

PNC Bank

Software Engineer Senior-Ai Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Strong programming in Python, with frameworks like PyTorch/TensorFlow, and libraries such as HuggingFace Transformers. Experience with vector databases, embeddings, and RAG architectures Familiarity ...

PNC

Software Engineer Senior-Ai Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Strong programming in Python, with frameworks like PyTorch/TensorFlow, and libraries such as HuggingFace Transformers. Experience with vector databases, embeddings, and RAG architectures Familiarity ...

All JobsPytorch Huggingface JobsPytorch Huggingface Jobs in Pennsylvania

Pytorch Huggingface information

What is a PyTorch Huggingface engineer?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

What are the key skills and qualifications needed to thrive as a PyTorch Huggingface engineer?

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.

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

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What are popular job titles related to Pytorch Huggingface jobs in Pennsylvania?

For Pytorch Huggingface jobs in Pennsylvania, the most frequently searched job titles are:

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The top searched job categories for Pytorch Huggingface jobs in Pennsylvania are:

Pytorch Huggingface jobs near you

Staff AI/ML Engineer

CACI International Inc

Philadelphia, PA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
CACI International Inc is seeking a Staff AI/ML Engineer to tackle challenging problems in AI/ML development. The role involves implementing machine learning algorithms, analyzing diverse datasets, and providing training and mentoring to team members.
Responsibilities:
• Implement machine learning algorithms as part of a small interdisciplinary team
• Analyze large multi-domain datasets including images, text, time series, and graph data
• Review and apply cutting-edge research publications
• Create technical documentation and user guides
• Understand training and deployment pipelines including AWS services
• Provide training and mentoring to team members
Qualifications:
Required:
• B.S. in machine learning, computer science, mathematics, or related field
• 8+ years of AI/ML development experience
• Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
• Experience with supervised and unsupervised learning
• Experience with deep learning architectures
• Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• M.S. or PhD in relevant technical field
• Experience leading interdisciplinary teams
• Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
• Linux and AWS experience
• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
Company:
At CACI International Inc (NYSE: CACI), our 27,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. Founded in 1962, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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