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Pytorch Developer Jobs in Atlanta, GA (NOW HIRING)

Purple Drive Technologies

PYTHON DEVELOPER

Alpharetta, GA · On-site

$49 - $67.50/hr

... PyTorch, Scikit learn, or XGBoost • MLOps experience including model versioning, feature stores, registries, and monitoring • Experience deploying models to AWS, GCP, or Azure • Familiarity ...

Hirekeyz Inc

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100.10K - $131.80K/yr

Lead Engineer- Cloud Product Location: Berkeley Heights, Alpharetta (5 Days Onsite) Job Type ... Experienced with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · On-site +1

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology Inc.

AI/ML Engineer

Atlanta, GA · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA

$110.10K - $132.20K/yr

... PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects ... engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter/VS Code ...

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Atlanta, GA? For Pytorch Developer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Atlanta, GA look for? The top searched job categories for Pytorch Developer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Pytorch Developer jobs? Cities near Atlanta, GA with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Senior Python AI/ML Engineer (TensorFlow/PyTorch) - Q125

Senior Python AI/ML Engineer (TensorFlow/PyTorch) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Python AI/ML Engineer (TensorFlow/PyTorch)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an accomplished Senior Python AI/ML Engineer to develop advanced AI solutions using Python with TensorFlow or PyTorch. This role focuses on building and training machine learning models within scalable data pipelines.
Key Responsibilities
  • Design and implement AI/ML models using Python with TensorFlow or PyTorch for predictive insights.
  • Build and optimize data pipelines to preprocess and feed data into model training workflows.
  • Train, evaluate, and deploy machine learning models in production environments.
  • Collaborate with data scientists to refine models and improve accuracy and performance.
  • Ensure scalability and efficiency of AI solutions through robust pipeline design.
  • Monitor and troubleshoot model performance to maintain production reliability.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Python development with a focus on AI and machine learning.
  • Proficiency in building and training models with TensorFlow or PyTorch for real-world applications.
  • Experience with data pipelines for preprocessing and managing ML training datasets.
  • Strong understanding of AI/ML workflows and their integration into production systems.

Preferred Qualifications
  • Familiarity with cloud platforms like AWS or Azure for deploying AI/ML models.
  • Exposure to advanced ML techniques like deep learning or reinforcement learning.
  • Knowledge of GPU optimization for accelerating model training processes.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, AI, Machine Learning, TensorFlow, PyTorch, Data Pipeline, Model Training

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