Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace Transformers, OpenCV, NLTK and BART * Understanding of RAG architectures, embeddings, and semantic search (bonus). GenAI & AI Agent Development
Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace Transformers, OpenCV, NLTK and BART * Understanding of RAG architectures, embeddings, and semantic search (bonus). GenAI & AI Agent Development
Expert-level proficiency in Python and relevant libraries (e.g., FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem). • Experience with LLM-based pipelines: Proven experience in building and ...
Expert-level proficiency in Python and relevant libraries (e.g., FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem). • Experience with LLM-based pipelines: Proven experience in building and ...
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
... Mistral, HuggingFace ecosystem). * Engineer prompts, system instructions, and reusable prompt ... Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex.
... Mistral, HuggingFace ecosystem). * Engineer prompts, system instructions, and reusable prompt ... Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex.
Cleared AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Cleared AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Cleared AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Cleared AI/ML Engineer
Tampa, FL · On-site
$108K - $185K/yr
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Pytorch Huggingface information
What are the key skills and qualifications needed to thrive as a PyTorch Hugging Face Engineer, and why are they important?
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 are Pytorch Huggingface developers?
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 Florida? For Pytorch Huggingface jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Florida look for? The top searched job categories for Pytorch Huggingface jobs in Florida are:
What cities in Florida are hiring for Pytorch Huggingface jobs? Cities in Florida with the most Pytorch Huggingface job openings:
AI QE Architect and Governance Leader - West Palm Beach, FL
West Palm Beach, FL • On-site
Full-time
Re-posted 10 days ago
Job description
Our client seeks an AI QE Architect for a Full time project in West Palm Beach, FL . Below is the detailed requirement
Job Title: AI QE Architect
Work location : West Palm Beach, FL
Duration: Full Time
Job Description:
AI / ML Technologies
GenAI & AI Agent Development
Ability to define governance for:
Automation & Quality Engineering
Functional
AI Governance & Compliance
Define governance around:
Cloud, DevOps & CI/CD
SDLC & Collaboration
Job Title: AI QE Architect
Work location : West Palm Beach, FL
Duration: Full Time
Job Description:
- Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience
- 10-14 years as a Technology Architect, SDET, or QE Leader with strong coding skills in Python, TypeScript, or Java.
- Proven experience designing automation frameworks or developer tools for large engineering organizations.
- Hands-on expertise with Large Language Models (LLMs), prompt engineering, and safety evaluation techniques.
- Exposure to Agentic AI systems and orchestration tools such as LangGraph, AutoGen, CrewAI, or similar agent frameworks.
- Experience implementing Model Context Protocol (MCP) for real-time automation, autonomous workflows, or CI/CD integrations.
- Experience working in highly regulated industries-Energy, Utilities, Nuclear, Healthcare, BFSI, or similar.
AI / ML Technologies
- Practical experience with frameworks and ecosystems:
- LangChain, Hugging Face, GPT models, vector databases
- Working knowledge of ML/DL libraries:
- Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace Transformers, OpenCV, NLTK and BART
- Understanding of RAG architectures, embeddings, and semantic search (bonus).
GenAI & AI Agent Development
- Expertise in designing, developing, validating, and deploying Generative AI solutions.
- Experience building AI agents, multi-agent workflows, or autonomous decision systems.
Ability to define governance for:
- LLM drift detection
- Prompt quality standards
- Agent monitoring & observability
- Data lineage & model versioning
Automation & Quality Engineering
- Strong experience building test automation frameworks using Python, PyTest, Selenium, Playwright, and Requests.
- Ability to create automated tests covering:
Functional
- API
- Integration
- Performance
- Security
- AI/ML validation (LLM testing, model accuracy, hallucination detection)
- Proficiency in API testing and validation of RESTful services.
- Plus: Experience with performance/load testing tools K6 or JMeter.
AI Governance & Compliance
- Establish AI/ML quality standards, testing guidelines, and risk controls.
Define governance around:
- Data security & privacy
- Model evaluation KPIs (accuracy, bias, toxicity, hallucination rates)
- Regulatory alignment for Energy/Utility operations
- Continuous monitoring & drift alerts
- Experience working with IRB, compliance, or audit teams.
Cloud, DevOps & CI/CD
- Knowledge of deploying AI and automation solutions on AWS.
- Experience implementing CI/CD pipelines for ML and LLM models:
- Model versioning & lifecycle
- Retraining workflows
- Automated evaluation gates
- Infrastructure-as-code (IAC) familiarity
- Experience implementing observability frameworks for AI/ML systems.
SDLC & Collaboration
- Strong understanding of end-to-end SDLC and QE methodologies.
- Work closely with developers, product managers, data scientists, and business stakeholders.
- Ability to provide clear communication around test strategy, risks, coverage, and governance readiness.
- Skilled in defect triage, risk-based testing, and quality strategy leadership.
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001