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Pytorch Developer Jobs in Cornelius, NC (NOW HIRING)

In-depth understanding of deep learning frameworks like TensorFlow, PyTorch, or similar. Strong background in cloud computing platforms (AWS, GCP, Azure) and familiarity with DevOps practices.

... PyTorch, or scikit-learn. * Strong software-engineering fundamentals: design patterns, object ... Cloud & DevOps: depth in AWS, Azure, or Google Cloud, with modern tooling - infrastructure-as-code ...

... PyTorch, or scikit-learn. * Strong software-engineering fundamentals: design patterns, object ... Cloud & DevOps: depth in AWS, Azure, or Google Cloud, with modern tooling - infrastructure-as-code ...

Lead, AI Engineering

Charlotte, NC · On-site

$100K - $131K/yr

Proficiency in Python, SQL, and modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn ... of engineering excellence. What you'll gain The benefits of joining Scout include the chance to ...

365 Power Platform AI Business Architect

Charlotte, NC · On-site

$59.25 - $77.25/hr

... programming in Python, Java, or C#. - Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch). - Experience with Microsoft Dynamics 365 Customer Engagement. - Excellent problem-solving ...

Experience with probabilistic programming and machine learning frameworks, such as PyTorch, PyMC, TensorFlow, or equivalent. Preferred Qualifications: * Familiarity with AI/ML modeling techniques and ...

Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar. * Strong experience with Generative AI, LLMs, prompt engineering, and RAG ...

Senior Machine Learning Test Engineer

Concord, NC · On-site +1

$102K - $133K/yr

You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML ... Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) * Experience with CI/CD tools and ...

Showing results 41-60

Pytorch Developer information

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 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 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 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 are popular job titles related to Pytorch Developer jobs in Cornelius, NC? For Pytorch Developer jobs in Cornelius, NC, the most frequently searched job titles are:
What cities near Cornelius, NC are hiring for Pytorch Developer jobs? Cities near Cornelius, NC with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Cornelius, NC as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Sr. Machine Learning/AI Engineer

Financial Independence Group

Cornelius, NC • On-site

$96K - $132K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Financial Independence Group (FIG) is one of the nation’s largest Finance and Insurance Marketing Organizations, focusing on expanding financial products and services. They are seeking a Senior Machine Learning/AI Engineer to architect and operationalize intelligent systems, develop machine learning models, and collaborate with cross-functional teams to drive organizational efficiency.
Responsibilities:
• Design, build, and deploy machine learning models and AI systems at scale.
• Develop LLM‑powered applications, including RAG pipelines, agent workflows, and automated decision‑support tools.
• Collaborate with cross‑functional partners to translate business needs into technical AI solutions.
• Work closely with data engineering to ensure strong data availability, quality, and ML readiness.
• Mentor engineers and analysts, guiding best practices in MLOps, model development, and responsible AI.
• Implement monitoring, observability, and model governance frameworks.
• Maintain high standards for security, safety, and compliance aligned with FIG’s AI governance.
• Evaluate new models, tools, and frameworks to continuously expand FIG’s AI capabilities.
• Present recommendations, insights, and solution designs to technical and non‑technical stakeholders.
Qualifications:
Required:
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit‑learn).
• Experience building and deploying machine learning models into production environments.
• Hands‑on experience working with large language models (LLMs), transformers, vector databases, embeddings, and retrieval‑augmented generation (RAG).
• Ability to design end‑to‑end AI pipelines from data ingestion and feature engineering to training, evaluation, deployment, and monitoring.
• Familiarity with prompt engineering, fine‑tuning, and model optimization techniques.
• Experience implementing MLOps workflows and tools (MLflow, Databricks, Weights & Biases, SageMaker, AgentCore or similar).
• Knowledge of agent frameworks (Strands, LangChain, Semantic Kernel, CrewAI, AutoGen).
• Knowledge of cloud technologies (AWS preferred), containerization and orchestration.
• Strong SQL skills and comfort working with modern data platforms (e.g., Snowflake, Redshift, BigQuery, Synapse).
• Experience deploying APIs, microservices, and distributed systems.
• Ability to evaluate model performance, identify failure modes, and optimize for accuracy, fairness, and reliability.
• Strong critical‑thinking skills paired with creativity in designing AI‑driven solutions.
• Experience conducting exploratory analysis, model experimentation, and error analysis.
• Ability to balance technical excellence with practical business impact.
• Ability to translate business needs into scalable AI solutions.
• Experience partnering with cross‑functional teams across engineering, data, operations, and leadership.
• Strong communication skills with the ability to present complex concepts clearly.
• Ability to mentor, guide, and influence teammates and stakeholders.
Preferred:
• Experience in financial services, insurance, wealth management, or other regulated industries.
• Prior involvement in AI governance, responsible AI frameworks, or risk assessments.
• Experience contributing to data governance, metadata management, or model lineage documentation.
• Familiarity with experimentation frameworks, A/B testing, or statistical modeling.
• Working knowledge of reinforcement learning, recommendation systems, or advanced NLP techniques.
Company:
Welcome to Financial Independence Group, or FIG Marketing. Founded in 1976, the company is headquartered in Cornelius, USA, with a team of 201-500 employees. The company is currently Growth Stage.