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Hugging Face Jobs in Lithonia, GA (NOW HIRING)

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face), Data engineering and pipeline development (Airflow, Spark, ETL systems), MLOps, model lifecycle management, and ...

Senior ML Engineer

Atlanta, GA · On-site

$100 - $160/hr

Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. * Solid hands‑on experience with core NLP techniques and transformer ...

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development (Airflow, Spark, ETL systems) * MLOps, model lifecycle management, and ...

Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development (Airflow, Spark, ETL systems) * MLOps, model lifecycle management, and ...

Senior ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... Hugging Face Transformers). • Solid understanding and hands-on experience with core NLP techniques and architectures, especially Transformers. • Experience with cloud platforms, particularly ...

Deep familiarity with modern LLM ecosystems, including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models. * Ability to select models and design effective LLM applications using prompting ...

... the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX ...

Data Scientist

Atlanta, GA · On-site

$120 - $180/hr

Deep familiarity with modern LLM ecosystems, including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models. * Ability to select models and design effective LLM applications using prompting ...

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

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 ...

Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers. * Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization)

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

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Hugging Face information

See Lithonia, GA salary details

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How much do hugging face jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for hugging face in Lithonia, GA is $14.11, according to ZipRecruiter salary data. Most workers in this role earn between $11.83 and $16.68 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed 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.

What job categories do people searching Hugging Face jobs in Lithonia, GA look for?

The top searched job categories for Hugging Face jobs in Lithonia, GA are:

What cities near Lithonia, GA are hiring for Hugging Face jobs?

Cities near Lithonia, GA with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Lithonia, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $29,352 per year, or $14.1 per hour.

Principal AI Engineer

Manhattan Associates

Atlanta, GA • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Manhattan Associates is a company that connects two billion people to consumer choices through their supply chain commerce technology. They are seeking a Principal AI Engineer to design and develop advanced artificial intelligence systems that support business goals, drive AI initiatives, and mentor teams in adopting AI solutions.
Responsibilities:
• Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
• Lead development of machine learning, deep learning, and generative AI models for production environments.
• Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
• Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
• Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
• Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions
• Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
• Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.
Qualifications:
Required:
• 7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.
• 3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.
• Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace.
• Deep knowledge of: Machine Learning (classification, regression, clustering, recommendation systems), Deep Learning (CNNs, RNNs, Transformers, GANs), Natural Language Processing (BERT, GPT, LLM fine-tuning), Computer Vision (YOLO, ResNet, object tracking, OCR).
• Expertise in: Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face), Data engineering and pipeline development (Airflow, Spark, ETL systems), MLOps, model lifecycle management, and production-grade deployment, Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes).
• Track record of scaling ML models from experimentation to production across teams or business units.
• Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
• Demonstrated ability to set research and development direction based on business needs.
• Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments.
• 3+ years experience interfacing and partnering with vendors.
• 3+ years experience assisting in strategy/roadmap and planning.
• Strong communication skills and ability to communicate at all levels of the organization (technical and business).
• 2+ years experience leading/mentoring more junior staff members.
• Highly self-motivated, directed, ability to work independently and be results-driven.
• 5+ years experience with SharePoint for document management and sharing.
• 5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA).
• 3+ years experience in agile/waterfall software delivery methodologies.
• 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar.
• 5+ years experience working with small, geographically distributed teams.
• 5+ years experience working both independently and in a team oriented, collaborative environment.
• Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs.
• Bachelor’s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience.
Company:
Manhattan Associates is a producer of supply chain omni-channel products. Founded in 1990, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.