ZipRecruiter

Log In

1

Pytorch Jobs in Georgia (NOW HIRING)

Kaleris

AI SENIOR SOLUTIONS ARCHITECT

Alpharetta, GA · Hybrid

Hands-on evaluation and selection of AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) and GenAI orchestration tools (LangChain, Semantic Kernel). * Review and approve solution architecture and ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA

$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.

Deloitte

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.

Dolby Laboratories, Inc.

AI Architect

Atlanta, GA

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 ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA

$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 ...

Navtech

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 ...

Navtech, Inc.

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 ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159K - $276K/yr

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 ...

Optimal Inc.

Agentic AI Engineer

Embry Hills, GA

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus * Strong problem ...

Ubertal Inc

Senior Cloud & AI Architect

Atlanta, GA · On-site

Evaluate AI platforms, frameworks, and tools; recommend solutions (e.g., AWS SageMaker, Azure ML, Google Vertex AI, PyTorch). * Collaborate with stakeholders, support multiple teams and projects, and ...

Workday, Inc.

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 ...

next page

Showing results 1-20

All JobsPytorch JobsPytorch Jobs in Georgia

Pytorch information

See Georgia salary details

$62.6K

$112.3K

$161.1K

How much do pytorch jobs pay per year?

As of Jun 27, 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 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 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 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 are popular job titles related to Pytorch jobs in Georgia? For Pytorch jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Georgia look for? The top searched job categories for Pytorch jobs in Georgia are:
What cities in Georgia are hiring for Pytorch jobs? Cities in Georgia with the most Pytorch job openings:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Georgia as of June 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $112,289 per year, or $54 per hour.
AI SENIOR SOLUTIONS ARCHITECT

AI SENIOR SOLUTIONS ARCHITECT

Kaleris

Alpharetta, GA • Hybrid

Full-time

Posted 28 days ago

Job description

Job Description:

Key Responsibilities
AI & Enterprise Application Strategy
  • Define an AI/ML adoption roadmap across ERP, CRM, HRIS, BI, and custom applications.
  • Translate strategic objectives into use-case-driven AI initiatives, leveraging GenAI capabilities for tangible business value.
  • Advise IT leadership on emerging AI trends, frameworks, and platform innovations (e.g., LLM orchestration, multi-modal AI).
Architecture & Integration
  • Architect end-to-end AI solutions in Microsoft Azure AI, integrating with enterprise systems via REST APIs, GraphQL, and event-driven architectures.
  • Ensure compatibility with solutions running in AWS SageMaker and hybrid-cloud deployments.
  • Assist with design data ingestion and preparation pipelines.
CI/CD, MLOps & Team Leadership
  • Lead a team of engineers and data scientists in delivering complex AI projects (e.g., document intelligence, NLP chatbots, predictive analytics, RPA workflows).
  • Implement MLOps practices and CI/CD pipelines using GitHub Actions for AI model lifecycle management.
  • Establish model monitoring, retraining schedules, and drift detection with frameworks like MLflow and Kubeflow.
Project Delivery
  • Own AI project delivery from PoC to production, ensuring robust governance, risk management, security, and compliance.
  • Deploy scalable models in Azure AI Studio and productionize via APIs or microservices in Kubernetes/AKS.
Stakeholder & Vendor Engagement
  • Collaborate with Business Analysts, Product Owners, Developers, and Data Engineers to ensure solutions meet functional and performance requirements.
  • Partner with external AI vendors, cloud providers, and technology partners to align on deliverables and integrations.
Technical Excellence
  • Hands-on evaluation and selection of AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) and GenAI orchestration tools (LangChain, Semantic Kernel).
  • Review and approve solution architecture and code for scalability, efficiency, and security compliance.
  • Mentor and develop team members through training on AI frameworks, cloud development practices, and architectural patterns.
Governance & Security
  • Assist with implementation of AI-specific data governance, privacy policies, and responsible AI principles.
  • Ensure compliance with standards and regulations (GDPR, SOC 2, ISO 27001) and practices such as OAuth2, SAML, RBAC/ABAC, encryption-at-rest/in-transit.
Innovation
  • Initiate and lead rapid Proofs of Concept (PoCs) and Minimum Viable Products (MVPs) using AI and GenAI for streamlined business processes.
  • Explore and pilot new AI features in LLMs, vision models, speech-to-text, translation, and personalization engines.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML Engineering, or a related technical field.
  • 5+ years in enterprise IT/applications management with at least 5+ years in AI/ML solution delivery in production environments.
  • Proven track record leading cross-functional technical teams on complex AI/ML projects in diverse, matrixed enterprise environments.
  • Deep experience with enterprise application platforms including CRM (Salesforce), ERP (NetSuite, SAP, Oracle), HRIS (Workday), and PSA/Billing (Certinia).
  • Demonstrated expertise in GenAI, NLP, RPA, predictive modeling, computer vision, and recommendation systems.
  • Strong understanding of enterprise integration patterns, event-driven architecture, and data engineering principles.
  • Experience working in regulated or compliance-sensitive environments (SOC 2, GDPR, ISO 27001).
  • Ability to balance hands-on technical delivery with strategic planning and executive-level communication.
  • Strong project ownership and accountability with experience in end-to-end delivery from requirements through post-production support.
Technical Requirements
Languages & Frameworks
  • Advanced Python proficiency including async patterns, data manipulation (pandas, NumPy), and REST API development (FastAPI, Flask).
  • Working knowledge of Java, C#, or Go for enterprise integrations and microservices development.
  • Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.
  • GenAI orchestration tools: LangChain, Semantic Kernel, LlamaIndex; experience with prompt engineering and RAG architecture design.
Cloud & Infrastructure
  • Expertise in cloud-native architecture on Microsoft Azure: Azure AI Studio, Azure Machine Learning, Azure OpenAI Service, Azure Data Factory, Synapse Analytics, AKS, Azure Functions.
  • Hands-on experience with AWS ML services: SageMaker, Bedrock, Lambda, S3, and hybrid-cloud deployment patterns.
  • Container orchestration: Kubernetes (AKS/EKS), Docker, Helm charts for ML model deployment.
  • Infrastructure-as-Code: Terraform, Bicep, or ARM templates for reproducible environment provisioning.
Integration & Data
  • Integration patterns: REST APIs, gRPC, GraphQL, message queues (Kafka, Azure Service Bus, RabbitMQ), and webhook-based architectures.
  • Data streaming and batch pipeline design using Azure Data Factory, Databricks, Synapse Analytics, and Spark.
  • Experience designing vector databases and embedding pipelines for RAG/semantic search (Azure AI Search, Pinecone, Weaviate).
  • Familiarity with data lakehouse patterns and medallion architecture (Bronze/Silver/Gold).
MLOps & DevSecOps
  • CI/CD pipeline implementation for AI/ML workloads using Azure DevOps, GitHub Actions, or Jenkins.
  • MLOps platforms: MLflow, Kubeflow, Azure ML Pipelines including model registry, versioning, and experiment tracking.
  • Model monitoring, drift detection, and automated retraining pipelines.
  • Security tooling: IAM/RBAC, OAuth2/SAML implementation, encryption-at-rest and in-transit, vulnerability scanning (Snyk, Dependabot).
Automation & RPA
  • Experience with process automation platforms: Power Automate, UiPath, Blue Prism including AI-augmented workflow design.
  • Familiarity with Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio) for low-code AI integration.
Desired Skills
  • Exceptional communication across technical and executive levels - able to translate complex AI concepts into business value narratives.
  • Demonstrated track record in change management for enterprise AI adoption, including stakeholder readiness, training, and cultural enablement.
  • Advanced problem-solving skills, particularly in scaling AI workloads from prototype to production under enterprise constraints.
  • Ability to architect AI reference patterns, reusable components, and drive enterprise-wide standards adoption.
  • Experience building and presenting business cases for AI investments, including ROI modeling, TCO analysis, and risk framing.
  • Familiarity with AI agent frameworks (AutoGen, CrewAI, OpenAI Assistants API) and multi-agent orchestration patterns.
  • Exposure to AI governance frameworks (NIST AI RMF, EU AI Act, Microsoft Responsible AI Standard) and enterprise AI policy design.
  • Experience with Salesforce Einstein, Agentforce, or Salesforce AI capabilities a plus given enterprise CRM environment.
  • Contributions to open-source AI projects, published research, or conference presentations a distinguishing factor.
  • Relevant certifications: Microsoft Azure AI Engineer (AI-102), AWS Certified ML Specialty, Google Professional ML Engineer, or equivalent.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply