Working knowledge of AI/ML frameworks (LangChain, Langgraph, Hugging Face, OpenAI APIs) * Experience with vector databases and embeddings * Understanding of prompt engineering and AI optimization ...
Working knowledge of AI/ML frameworks (LangChain, Langgraph, Hugging Face, OpenAI APIs) * Experience with vector databases and embeddings * Understanding of prompt engineering and AI optimization ...
Senior Software Engineer - Applied AI/ML
Atlanta, GA · Remote
$135K - $155K/yr
Experience with ML frameworks (PyTorch, Tensorflow) and infrastructure (e.g., Databricks, MLFlow, AWS SageMaker, Hugging Face) * Experience with distributed computing frameworks like Ray * Experience ...
Senior Software Engineer - Applied AI/ML
Atlanta, GA · Remote
$135K - $155K/yr
Experience with ML frameworks (PyTorch, Tensorflow) and infrastructure (e.g., Databricks, MLFlow, AWS SageMaker, Hugging Face) * Experience with distributed computing frameworks like Ray * Experience ...
OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face * Vector DBs: Pinecone, Weaviate, pgvector, Chroma * Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI * Data:
OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face * Vector DBs: Pinecone, Weaviate, pgvector, Chroma * Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI * Data:
Senior Data Scientist
Atlanta, GA · On-site +1
$146K - $304K/yr
Extensive experience with AI/ML frameworks and libraries such as Scikit-Learn, Numpy, Pandas, SciPy, Hugging Face Transformers. * Hands-on experience with Large Language Models (LLMs), including ...
Senior Data Scientist
Atlanta, GA · On-site +1
$146K - $304K/yr
Extensive experience with AI/ML frameworks and libraries such as Scikit-Learn, Numpy, Pandas, SciPy, Hugging Face Transformers. * Hands-on experience with Large Language Models (LLMs), including ...
Senior ML Engineer I
Atlanta, GA · On-site
$100K - $138K/yr
Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...
Senior ML Engineer I
Atlanta, GA · On-site
$100K - $138K/yr
Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). * Solid understanding and hands-on experience with core NLP techniques and ...
Working knowledge of AI/ML frameworks (LangChain, Hugging Face, OpenAI APIs) * Experience with vector databases and embeddings * Understanding of prompt engineering and AI optimization Communication ...
Working knowledge of AI/ML frameworks (LangChain, Hugging Face, OpenAI APIs) * Experience with vector databases and embeddings * Understanding of prompt engineering and AI optimization Communication ...
Senior Machine Learning Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face ...
Senior Machine Learning Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face ...
SDET (AI & Next-Gen Automation)
Atlanta, GA · On-site
$53K - $122K/yr
Practical exposure to LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face), including prompt engineering or API-based integrations. * Familiarity with agentic or orchestration frameworks (LangChain ...
SDET (AI & Next-Gen Automation)
Atlanta, GA · On-site
$53K - $122K/yr
Practical exposure to LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face), including prompt engineering or API-based integrations. * Familiarity with agentic or orchestration frameworks (LangChain ...
Senior Machine Learning Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face ...
Senior Machine Learning Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face ...
Lead AI Engineer
Atlanta, GA · On-site
$100K - $132K/yr
Expert-level proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face). * Strong experience with a major cloud provider (GCP, AWS, Azure), including their ...
Lead AI Engineer
Atlanta, GA · On-site
$100K - $132K/yr
Expert-level proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face). * Strong experience with a major cloud provider (GCP, AWS, Azure), including their ...
Senior Machine Learning Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face ...
Senior Machine Learning Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face ...
Hugging Face information
See Decatur, GA salary details
$8.68 - $9.75
3% of jobs
$9.75 - $10.82
5% of jobs
$10.82 - $11.88
6% of jobs
$12.83 is the 25th percentile. Wages below this are outliers.
$11.88 - $12.95
12% of jobs
$12.95 - $14.02
13% of jobs
The median wage is $14.72 / hr.
$14.02 - $15.08
17% of jobs
$15.08 - $16.15
9% of jobs
$17.14 is the 75th percentile. Wages above this are outliers.
$16.15 - $17.22
11% of jobs
$17.22 - $18.29
5% of jobs
$18.29 - $19.35
9% of jobs
$19.35 - $20.42
9% of jobs
$8
$15
$20
How much do hugging face jobs pay per hour?
What professions make 500,000 a year?
What is the difference between Hugging Face vs Machine Learning Engineer?
| Aspect | Hugging Face | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Typically requires knowledge of NLP, deep learning, and Python; certifications are optional | Requires degrees in CS or related fields; experience with ML frameworks; certifications beneficial |
| Work Environment | Collaborative, research-focused, often in tech companies or startups | Development, deployment, and optimization of ML models in various industries |
| Employer & Industry Usage | Used by AI/ML companies, research labs, and open-source communities | Employed across tech, finance, healthcare, and other sectors implementing ML solutions |
Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 5 days ago
Wolters Kluwer rating
8.8
Based on 23 frontline employees who took The Breakroom Quiz
31st of 186 rated software companies
Job description
Wolters Kluwer Tax& Accounting team is looking for a Lead Software Engineer to build the next generation of AI-powered capabilities for our cloud audit solutions. You will build AI -powered audit solutions that help professionals analyze complex documents, interpret rules, detect exceptions and generate explainable findings.
Our team operates with close collaboration between engineers, product managers, UX designers, and researchers. Engineers deeply understand business problems, product managers rapidly prototype ideas, and designers and researchers translate user needs into elegant, evidence-based solutions. We work in fast feedback cycles, obsess over customer value, and blur traditional role boundaries to focus on solving the right problems. We practice Agile and XP methodologies with weekly sprints, BDD/TDD practices, and pair programming with daily rotation to support high team cohesion and knowledge sharing.
This role is ideal for someone who adapts quickly to new technologies, communicates effectively across teams, thrives in collaborative environments, and is passionate about human-centric AI solutions that deliver real value to professionals.
Key Responsibilities:
Build AI Agent Systems: Design and implement task-focused AI agents that assist thousands of professional's audit work. Building Document understanding and structured-data extraction systems. Leading production-grade AI services and shipping working capabilities quickly and iterating with Product & customer teams.
Cross-Portfolio Innovation: Work across TAA's product portfolio, enabling other teams while building AI solutions that can be applied to multiple products and customer segments.
Technical Leadership: Design and implement AI features using Python and modern frameworks. Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability.
Close Collaboration: Work in Audit's collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas.
Requirements:
Technical Foundation:
- Bachelors Degree in Computer Science or Equivalent
- 5+ years building software applications (experience with Python, Java or C++)
- 1+ years hands-on experience with LLMs or AI systems (NLP preferred)
- Full-stack development capabilities
- Experience with Agile/XP practices including TDD/BDD and pair programming
- Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)
- Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow
Technical Project Leadership:
- 3+ years leading complex technical projects from inception to delivery
- Experience working in startup-like environments or innovation teams
- Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries
AI/ML Experience:
- Working knowledge of AI/ML frameworks (LangChain, Langgraph, Hugging Face, OpenAI APIs)
- Experience with vector databases and embeddings
- Understanding of prompt engineering and AI optimization
Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Preferred Qualifications:
Microsoft Azure AI-102 certification is highly desired or able to get certified in first 30 days - our team is 100% certified and we value this demonstration of Azure AI expertise
- Experience with Azure AI services, advanced AI frameworks, or multi-modal AI systems
- Background in dynamic environments like startups, innovation teams, or product-focused companies that prioritize customer co-design and rapid value delivery
- Experience with document processing, financial data analysis, or B2B professional software
- Experience with MLOps, AI governance, or cross-portfolio AI implementations, particularly in regulated/compliance-driven environments
We encourage applications from candidates with diverse backgrounds who have strong technical skills, project leadership experience, and can adapt quickly to new challenges in a customer-focused, innovation-driven environment.
Our Culture:
At Wolters Kluwer, our core values-Focus on Customer Success, Make it Better, Aim High and Deliver, and Win as a Team-guide everything we do. We are committed to driving success for our customers by delivering innovative solutions that exceed expectations. We continually strive to improve our processes and products, aiming for excellence in all our efforts. Collaboration and teamwork are central to our culture, enabling us to achieve great results together.
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Compensation:
$116,400.00 - $204,100.00 USDThis role is eligible for Bonus.Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information:Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
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