... as PyTorch, Lightning, OpenCV, NumPy, Polars • Experience with supervised and unsupervised ... HuggingFace, LangChain, OpenCV • Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and ...
... as PyTorch, Lightning, OpenCV, NumPy, Polars • Experience with supervised and unsupervised ... HuggingFace, LangChain, OpenCV • Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and ...
AI Engineer
$150K - $250K/yr
Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...
AI Engineer
$150K - $250K/yr
Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...
AI Engineer
$150K - $250K/yr
Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...
AI Engineer
$150K - $250K/yr
Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...
AI Engineer
Birmingham, MI · On-site
$150K - $250K/yr
Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...
AI Engineer
Birmingham, MI · On-site
$150K - $250K/yr
Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...
... PyTorch, TensorFlow, or equivalent) Strong Python skills across the scientific ML stack (scikit-learn, HuggingFace Transformers, pandas, NumPy) Experience designing and evaluating NLP or multimodal ...
... PyTorch, TensorFlow, or equivalent) Strong Python skills across the scientific ML stack (scikit-learn, HuggingFace Transformers, pandas, NumPy) Experience designing and evaluating NLP or multimodal ...
Pytorch Huggingface information
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.
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 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.
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 are popular job titles related to Pytorch Huggingface jobs in Michigan?
For Pytorch Huggingface jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Michigan look for?
The top searched job categories for Pytorch Huggingface jobs in Michigan are:
What cities in Michigan are hiring for Pytorch Huggingface jobs?
Cities in Michigan with the most Pytorch Huggingface job openings:
Full-time
Re-posted 9 days ago
Job description
Job Summary:
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. They are seeking a Staff AI/ML Engineer to implement machine learning algorithms and analyze large multi-domain datasets, while also 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:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. They are seeking a Staff AI/ML Engineer to implement machine learning algorithms and analyze large multi-domain datasets, while also 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:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.
About Danbury Mission Technologies
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Danbury, CT, US