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Hugging Face Jobs in Decatur, GA (NOW HIRING)

Manhattan Associates

Principal AI Engineer

Atlanta, GA · On-site

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 ...

Kaleris

AI SENIOR SOLUTIONS ARCHITECT

Alpharetta, GA · On-site

TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers. * GenAI orchestration tools: LangChain, Semantic Kernel, LlamaIndex; experience with prompt engineering and RAG architecture design.

Rivian

Staff Security Engineer - AI Security

Atlanta, GA · On-site

$140K - $175K/yr

You are familiar with modern ML frameworks (like PyTorch, Hugging Face, or LangChain) and bring practical experience utilizing specialized AI red teaming tools (such as Garak or PyRIT). * Courage ...

Crew Career Center

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 ...

JLL

Lead AI Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem * Demonstrated proficiency with Python development and AI/ML libraries * Demonstrated ...

Omnissa

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 ...

Waystar

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 ...

Elevance Health

Gen AI Engineer

Atlanta, GA · Hybrid

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 ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... 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 ...

IHG Hotels & Resorts

Principal AI Engineer

Atlanta, GA · On-site

Expert-level proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face). * Expert experience with a major cloud provider (GCP, AWS, Azure), including their ...

Patientco

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 ...

Rivian

Staff Security Engineer - AI Security

Riverdale, GA · On-site

$140K - $175K/yr

You are familiar with modern ML frameworks (like PyTorch, Hugging Face, or LangChain) and bring practical experience utilizing specialized AI red teaming tools (such as Garak or PyRIT). * Courage ...

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How much do hugging face jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for hugging face in Decatur, GA is $15.09, according to ZipRecruiter salary data. Most workers in this role earn between $12.69 and $17.84 per hour, depending on experience, location, and employer.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

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 are popular job titles related to Hugging Face jobs in Decatur, GA? For Hugging Face jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Decatur, GA look for? The top searched job categories for Hugging Face jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Hugging Face jobs? Cities near Decatur, GA with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Decatur, GA as of June 2026, with employment types broken down into 9% As Needed, 37% Full Time, 30% Part Time, 3% Temporary, 18% Contract, and 3% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $31,390 per year, or $15.1 per hour.
AI Cloud Security and Infrastructure Engineer

AI Cloud Security and Infrastructure Engineer

Troutman Pepper

Atlanta, GA • On-site

$137K/yr

Full-time

Posted 17 days ago

Job description

We are always seeking talented, motivated, growth-minded, and creative individuals. Our firm is committed to providing employee support and advancement, while embracing inclusion and innovation as keys to a stronger future.
We invite you to explore the position below and to submit your application to join our team!
The AI Cloud Security and Infrastructure Engineer designs, implements, and maintains secure, scalable cloud environments optimized for AI-driven applications and focuses on enabling the eMerge Custom Solutions team to securely build and deploy solutions powered by Large Language Models (LLMs) and other advanced AI technologies. The AI Cloud Security and Infrastructure Engineer ensures strong security, compliance, and performance across hybrid infrastructures while fostering innovation in AI development workflows.
Essential Duties and Responsibilities:
  • Design and run secure, highly scalable cloud infrastructures (Azure, AWS, GCP) tailored for AI workloads and data-intensive applications.
  • Build and manage infrastructure-as-code (IaC) using tools such as Terraform, Pulumi, Azure ARM templates.
  • Develop, implement, and enforce security best practices for AI pipelines, including data encryption, identity and access management, PKI, and zero-trust architectures.
  • Maintain compliance with key industry standards, frameworks, and regulations (ISO 27001, ISO 27701, ISO 42001, GDPR, CCPA, CMMC Level 2).
  • Partner with software engineering and cross-functional teams to secure CI/CD pipelines and clearly communicate technical risk and compliance information to executive stakeholders.
  • Secure, optimize, and continuously monitor containerized environments for LLM deployments leveraging Docker and Kubernetes.
  • Support infrastructure for fine-tuning, hosting, and scaling LLMs (OpenAI, Hugging Face, Azure OpenAI Service), including management of GPU/TPU resources.
  • Configure and oversee DNS, core networking services, and SIEM platforms (e.g., Microsoft Sentinel) to support threat detection, incident triage, and compliance reporting.
  • Perform security and risk assessments for AI infrastructure and data pipelines and drive the execution of mitigation strategies.
  • Implement and maintain observability tools (Datadog, Prometheus, Grafana) for AI systems and lead incident response efforts for security breaches and critical system outages.
  • Support with data asset inventory, tracking, and media auditing to strengthen data governance and control.
  • Maintain strict confidentiality of information.

Knowledge, Skills, and Abilities:
  • Deep expertise in PKI, encryption standards, and cryptographic hashing methods.
  • Advanced understanding of core networking concepts, DNS, and securing web services.
  • Solid knowledge of key compliance frameworks, including ISO 27001, ISO 27701, ISO 42001, and CMMC L2.
  • Exceptional written and verbal communication skills, with the ability to effectively engage both technical and non-technical stakeholders and the ability to clearly communicate complex technical concepts to non-technical stakeholders.
  • Demonstrated reliability and integrity in managing and safeguarding sensitive information.
  • Understanding of data governance principles and secure end-to-end model lifecycle management.
  • Familiarity with prompt engineering practices and techniques for optimizing large language models (LLMs).
  • Strong skills in creating clear documentation and delivering effective presentations.
  • Proven capability to troubleshoot and solve problems under pressure and tight deadlines.
  • Excellent team-oriented service approach and professional client-facing demeanor.

Education and/or Experience:
  • Bachelor's degree, or equivalent combination of training, education, and experience that demonstrates the ability to perform the core responsibilities of the role.
  • Minimum five (5) years of experience in cloud infrastructure engineering with a strong emphasis on security.
  • Relevant certifications, such as Microsoft Certified: Azure Security Engineer Associate, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), Certified Information Security Manager (CISM), AI Governance Professional (AIGP).
  • Experience designing and managing AI/ML pipelines and implementing DevSecOps practices.
  • Experience securing containerized environments, including Kubernetes and Docker.
  • Hands-on expertise with Kubernetes, Docker, and infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates).
  • Experience working with MLOps platforms such as MLflow and Kubeflow.
  • Experience implementing and operating SIEM solutions, preferably Microsoft Sentinel.

#LI-Hybrid
The Firm will comply with any applicable city or state workplace mandates in effect in regards to Covid-19.
This position description is intended to describe the general content of and requirements for the performance of the job. The statements contained in the position description are not necessarily all-inclusive and additional duties and responsibilities may be assigned as determined by business needs.
This position description does not constitute a written or implied contract of employment.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
By applying for this position, you agree and understand that Troutman Pepper Locke will process your Personal Information pursuant to the terms of our Worker and Applicant Global Privacy Notice. If you have questions about our data handling practices, or you are a resident of California, the United Kingdom, or the European Union and wish to exercise your privacy rights, please contact us at privacy@troutman.com.
Equal Employment Opportunity
Troutman Pepper Locke adheres to a policy of equal opportunity and will make all employment decisions, which include hiring, promotion, transfer, demotion, evaluation, compensation and separation, without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, pregnancy, citizenship, disability, genetic information, marital or armed forces status and any other classification as protected by law.
Compensation is dependent on several factors, such as position, location, market, education, training, and/or experience.
Hiring Salary Range:
$130,000.00 - $150,000.00

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