AI QE Architect
Bethesda, MD · On-site
... LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs. • Experience with agentic AI ... PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV. • ...
New
AI QE Architect
Bethesda, MD · On-site
... LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs. • Experience with agentic AI ... PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV. • ...
New
AI QE Architect
Bethesda, MD · On-site
... LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs. • Experience with agentic AI ... PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV. • ...
AI QE Architect
Bethesda, MD · On-site
... LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs. • Experience with agentic AI ... PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV. • ...
Staff Scientist
Medical
Dental
Vision
Retirement
PTO
Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...
Staff Scientist
Medical
Dental
Vision
Retirement
PTO
Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...
Staff Scientist
Bethesda, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...
Staff Scientist
Bethesda, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Quick apply
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site +1
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site +1
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
Software Engineer 3 (TS/SCI with Poly)
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * data science workflows, ETL, and data lakes * developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch ...
AI/ML Engineer
Fort Washington, MD · Hybrid
$108K - $185K/yr
Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...
AI/ML Engineer
Fort Washington, MD · Hybrid
$108K - $185K/yr
Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...
Software Engineer 3
$63.25 - $84.75/hr
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
Software Engineer 3
$63.25 - $84.75/hr
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
AL/ML Programmer with Security Clearance
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
AL/ML Programmer with Security Clearance
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
AI QE Architect
Bethesda, MD · On-site
$179K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Proficiency with LangChain, HuggingFace, Transformers, OpenAI/Ollama APIs. * Experience to agentic ... Experience with PyTorch, TensorFlow, Scikit-Learn, NLP/CV libraries (NLTK, BART, OpenCV). * Build ...
AI QE Architect
Bethesda, MD · On-site
$179K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Proficiency with LangChain, HuggingFace, Transformers, OpenAI/Ollama APIs. * Experience to agentic ... Experience with PyTorch, TensorFlow, Scikit-Learn, NLP/CV libraries (NLTK, BART, OpenCV). * Build ...
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
AL/ML Programmer
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
AL/ML Programmer
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
Software Engineer 3 with Security Clearance
Annapolis Junction, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
Software Engineer 3 with Security Clearance
Annapolis Junction, MD · On-site
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
AL/ML Programmer
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
AL/ML Programmer
Fort George G Meade, MD · On-site
Medical
Dental
Vision
Retirement
PTO
Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas ...
Software Engineer 3
Annapolis, MD · On-site
$57 - $76.50/hr
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
Software Engineer 3
Annapolis, MD · On-site
$57 - $76.50/hr
Medical
Dental
Vision
Life
Retirement
PTO
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
Software Engineer 3
$86.20 - $136.27/hr
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
Quick apply
Software Engineer 3
$86.20 - $136.27/hr
... Huggingface transformer models * Data science workflows, ETL, and data lakes * Developing and deploying ML/AI models in real-world applications * Machine learning libraries such as PyTorch
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?
| Aspect | Pytorch Huggingface | Machine Learning Engineer |
|---|---|---|
| Credentials | Proficiency in Python, deep learning frameworks, familiarity with NLP libraries | Degree in CS, data science, or related field; experience with ML models |
| Work Environment | Research labs, AI startups, tech companies focusing on NLP and deep learning | Tech companies, consulting firms, R&D departments across industries |
| Usage | Developing NLP models, fine-tuning transformers, deploying AI solutions | Designing, 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 Maryland?
For Pytorch Huggingface jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Maryland look for?
The top searched job categories for Pytorch Huggingface jobs in Maryland are:
What cities in Maryland are hiring for Pytorch Huggingface jobs?
Cities in Maryland with the most Pytorch Huggingface job openings:
Job description
Job Summary:
The AI QE Architect will lead the design, development, and optimization of next-generation AI-powered quality engineering solutions and platforms. This role combines deep technical expertise in automation engineering with hands-on experience in LLMs, agentic AI frameworks, and enterprise-grade AI tooling. The architect will define strategy, design scalable frameworks, guide teams, and drive innovation across QE automation, AI agents, RAG pipelines, and MCP-enabled intelligent workflows.
Key Responsibilities:
• Design, develop, and enhance GenAI-powered quality engineering solutions, AI agents, and autonomous workflows.
• Apply LLMs, prompt engineering, RAG, vector databases, and model evaluation techniques to quality engineering initiatives.
• Design and implement agentic AI solutions using frameworks such as LangGraph, AutoGen, and CrewAI.
• Implement MCP-driven, context-aware automation and CI/CD decision intelligence.
• Architect and maintain automation frameworks using Playwright and Selenium for UI testing.
• Develop API automation solutions using PyTest, Requests, and RestAssured.
• Design and maintain performance testing solutions using JMeter and Locust.
• Develop prompt-optimized, AI-generated test assets and validation mechanisms.
• Build data and embedding pipelines and optimize retrieval capabilities for RAG solutions.
• Implement CI/CD processes for ML models, including versioning, evaluation, and retraining workflows.
• Integrate automation pipelines using GitHub Actions, Azure DevOps, and Jenkins.
• Design scalable, secure, and governed AI and automation environments across AWS, Azure, and GCP.
• Provide technical leadership and mentor teams on AI adoption and automation engineering best practices.
• Collaborate with developers, SMEs, and product teams to define architecture, priorities, and technical roadmaps.
• Drive feature prioritization, quality strategy, and solution design across AI-powered QE initiatives.
• Lead defect triage, quality reviews, and compliance with QE and AI governance standards.
• Contribute across the full SDLC, including test strategy, design, execution, and analysis.
• Operate effectively within Agile/Scrum environments.
Required Qualifications:
• Strong hands-on experience with LLMs, prompt engineering, RAG, vector databases, and model evaluation.
• Proficiency with LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs.
• Experience with agentic AI frameworks such as LangGraph, AutoGen, and CrewAI.
• Strong coding skills in Python, TypeScript, or Java.
• Extensive experience architecting and maintaining automation frameworks for UI, API, and performance testing.
• Experience with Playwright, Selenium, PyTest, Requests, RestAssured, JMeter, and/or Locust.
• Experience with PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV.
• Experience building data and embedding pipelines and optimizing retrieval for RAG.
• Experience implementing CI/CD for ML models, including model versioning, evaluation, and retraining workflows.
• Strong understanding of AWS, Azure, and/or GCP architectures and AI/ML services.
• Experience integrating automation pipelines with GitHub Actions, Azure DevOps, and Jenkins.
• Strong understanding of AI/automation security, scalability, governance, and enterprise integration.
• Strong technical leadership, mentoring, communication, and collaboration skills.
• Experience working across the full software development lifecycle in Agile/Scrum environments.
The AI QE Architect will lead the design, development, and optimization of next-generation AI-powered quality engineering solutions and platforms. This role combines deep technical expertise in automation engineering with hands-on experience in LLMs, agentic AI frameworks, and enterprise-grade AI tooling. The architect will define strategy, design scalable frameworks, guide teams, and drive innovation across QE automation, AI agents, RAG pipelines, and MCP-enabled intelligent workflows.
Key Responsibilities:
• Design, develop, and enhance GenAI-powered quality engineering solutions, AI agents, and autonomous workflows.
• Apply LLMs, prompt engineering, RAG, vector databases, and model evaluation techniques to quality engineering initiatives.
• Design and implement agentic AI solutions using frameworks such as LangGraph, AutoGen, and CrewAI.
• Implement MCP-driven, context-aware automation and CI/CD decision intelligence.
• Architect and maintain automation frameworks using Playwright and Selenium for UI testing.
• Develop API automation solutions using PyTest, Requests, and RestAssured.
• Design and maintain performance testing solutions using JMeter and Locust.
• Develop prompt-optimized, AI-generated test assets and validation mechanisms.
• Build data and embedding pipelines and optimize retrieval capabilities for RAG solutions.
• Implement CI/CD processes for ML models, including versioning, evaluation, and retraining workflows.
• Integrate automation pipelines using GitHub Actions, Azure DevOps, and Jenkins.
• Design scalable, secure, and governed AI and automation environments across AWS, Azure, and GCP.
• Provide technical leadership and mentor teams on AI adoption and automation engineering best practices.
• Collaborate with developers, SMEs, and product teams to define architecture, priorities, and technical roadmaps.
• Drive feature prioritization, quality strategy, and solution design across AI-powered QE initiatives.
• Lead defect triage, quality reviews, and compliance with QE and AI governance standards.
• Contribute across the full SDLC, including test strategy, design, execution, and analysis.
• Operate effectively within Agile/Scrum environments.
Required Qualifications:
• Strong hands-on experience with LLMs, prompt engineering, RAG, vector databases, and model evaluation.
• Proficiency with LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs.
• Experience with agentic AI frameworks such as LangGraph, AutoGen, and CrewAI.
• Strong coding skills in Python, TypeScript, or Java.
• Extensive experience architecting and maintaining automation frameworks for UI, API, and performance testing.
• Experience with Playwright, Selenium, PyTest, Requests, RestAssured, JMeter, and/or Locust.
• Experience with PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV.
• Experience building data and embedding pipelines and optimizing retrieval for RAG.
• Experience implementing CI/CD for ML models, including model versioning, evaluation, and retraining workflows.
• Strong understanding of AWS, Azure, and/or GCP architectures and AI/ML services.
• Experience integrating automation pipelines with GitHub Actions, Azure DevOps, and Jenkins.
• Strong understanding of AI/automation security, scalability, governance, and enterprise integration.
• Strong technical leadership, mentoring, communication, and collaboration skills.
• Experience working across the full software development lifecycle in Agile/Scrum environments.
About Compunnel
Sourced by ZipRecruiter
Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
1994