1

Pytorch Jobs in Georgia (NOW HIRING)

Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers, etc. * 4+ years of experience in Python and its core data science libraries (e.g ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.

Guide model porting across frameworks and runtimes (e.g., PyTorch ONNX vendor specific runtimes) * Build prototypes and proof of concepts to reduce technical risk prior to full engineering investment ...

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

PyTorch, scikit-learn * Data: NumPy, pandas * Scientific computing: SciPy, Matplotlib * Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of ...

PyTorch, scikit-learn + Data: NumPy, pandas + Scientific computing: SciPy, Matplotlib* Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you ...

Google Contact Center AI

Alpharetta, GA · On-site

$15.75 - $21.50/hr

Experience in DL frameworks such as TensorFlow, PyTorch, XGBoost, (or other) * Knowledge of data flow and dialog flow in CCAI applications * Deep knowledge of how NLU (natural language understanding ...

AI Engineer

Atlanta, GA · On-site

$120 - $160/hr

Follow the team's quality, security, communication, and Agile delivery practices. \Requirements\ Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency ...

New

Strong programming skills in Python with proficiency in relevant libraries (pandas, scikit-learn, TensorFlow/PyTorch) * Familiarity with data technologies (Hadoop, Spark) * Knowledge of deep learning ...

Senior/Principal AI Engineer

Atlanta, GA

$120K - $166K/yr

... as Pytorch, TensorFlow * 6+ years of professional experience in building services to host machine learning models in production at scale * 3+ years of demonstrated experience working with large ...

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

... as Pytorch, TensorFlow * 6+ years of professional experience in building services to host machine learning models in production at scale * 3+ years of demonstrated experience working with large ...

Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras. * Experience designing and implementing large-scale data pipelines and processing ...

TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • ...

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • ...

Showing results 41-60

Pytorch information

See Georgia salary details

$62.6K

$112.3K

$161.1K

How much do pytorch jobs pay per year?

As of Aug 19, 2026, the average yearly pay for pytorch in Georgia is $112,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,140.00 and $137,327.00 per year, depending on experience, location, and employer.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What cities in Georgia are hiring for Pytorch jobs?

Cities in Georgia with the most Pytorch job openings:

Infographic showing various Pytorch job openings in Georgia as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, and 7% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $112,289 per year, or $54 per hour.

Senior Data Scientist - Fraud

Equifax

Alpharetta, GA • On-site

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a strong Data Scientist who can utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects in the Fraud space.
Qualified candidates will have a passion for data science, mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will come from a fraud background, deeply understanding the importance of fraud in the credit data space.
We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.
This role reports to our office Alpharetta, GA office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Design and deploy advanced fraud and credit risk models to mitigate threats across the enterprise.
  • Develop and productionize innovative GenAI and LLM-driven solutions for complex fraud detection.
  • Develop customer fraud models with exposure to various fraud types (e.g., account takeover, identity theft, payment fraud).
  • End-to-end design, development, and deployment of advanced machine learning, AI, and Generative AI models to power new product initiatives across the enterprise.
  • Design and build novel algorithms to enhance our data governance, quality, and metadata management capabilities, creating new ways to automatically know and manage our data assets.
  • Proactively collect, analyze, and interpret existing internal data and evaluate new, external data sources to identify and propose new product opportunities for our business units.
  • Act as a senior technical consultant and partner to global teams, helping them frame their business problems, identify data-driven solutions, and overcome their most complex analytical challenges.
  • Serve as a technical leader and mentor for junior data scientists and analysts, conducting code reviews, sharing best practices, and fostering a culture of innovation and excellence.
  • Translate complex analytical findings and research outputs into clear, compelling presentations and strategic recommendations for diverse stakeholders, including senior leadership.
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
  • Lead the analytical strategy on critical technical capabilities for global company solutions.
  • Work with key stakeholders to support development of proprietary analytical products and custom scores, effectively communicating the "so what" of the analysis using strong data visualizations and business language.
  • Contribute to the evaluation of external data sources and data science capabilities, providing due diligence recommendations.

What experience you need
  • A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 7-10+ years of hands-on experience building and deploying production-level data science solutions using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks,
  • Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers, etc.
  • 4+ years of experience in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
  • 4+ years of experience to work with massive (petabyte-scale) datasets using strong SQL and big data technologies (e.g., Spark, Dataflow, BigQuery, Snowflake) within a cloud environment (AWS, Google Cloud Platform-Preferred).
  • Deep knowledge of classical machine learning, statistical modeling, and NLP. You should have a strong command of supervised and unsupervised learning, time-series analysis, and model validation techniques
  • Excellent verbal and written communication skills, with a proven ability to collaborate effectively with cross-functional teams and present complex topics to non-technical audiences
  • 1+ year of experience mentoring junior data scientists
  • 2+ years' experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future
  • Experience with development and deployment of models in a cloud-based environment such as AWS or Google Cloud Platform.
  • Background in, and an innate talent and passion for, trying new technologies and quickly assessing value and implementability within organizations.
  • Hunger for innovation and ability to switch between multiple projects at once.

What could set you apart
  • Extensive experience in developing and deploying production-level Fraud and Credit risk models.
  • Extensive experience in building, fine-tuning, and productionizing GenAI and LLM solutions (e.g., RAG, fine-tuning, LLM orchestration).
  • Demonstrable, hands-on experience building and fine-tuning LLMs, developing Retrieval-Augmented Generation (RAG) systems, and understanding the MLOps lifecycle for GenAI.
  • Prior experience working in the financial services industry (e.g., risk modeling, algorithmic trading, fraud detection, or compliance).
  • A portfolio or past experience building models specifically for data management (e.g., data quality anomaly detection, PII identification, automated data cataloging).
  • A history of publishing research in relevant AI/ML conferences or contributing to major open-source data science projects.
  • Knowledge in graph mining and graph data model
  • Innate talent and passion for trying new technologies and quickly assessing value and implementability within organizations.
  • Demonstrable experience with identity graphs and graph-related technologies is a plus.

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Equifax logo

About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

Social media