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Pytorch Developer Jobs in Dallas, TX (NOW HIRING)

Copart, Inc.

DevOps Engineering Intern

Dallas, TX · On-site

Position Overview We are seeking a motivated DevOps Intern to support the deployment, automation ... Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or MLflow. * Experience building ...

Gainwell Technologies LLC

Expert AI Engineer

Dallas, TX · On-site

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

IT America Inc

ML Engineer

Plano, TX · On-site

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit ... GCP Professional Machine Learning Engineer certification is required. Experience with version ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and programming languages (Python, R). Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. Strong ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site

$56.50 - $74/hr

... PyTorch, Scikit-learn), and programming languages (Python, R). • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. • Strong architectural design and system integration skills ...

NTT DATA Services

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

... PyTorch, Scikit-learn), and programming languages (Python, R). • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. • Strong architectural design and system integration skills ...

Deloitte

Manager - GenAI Full Stack Developer

Dallas, TX · On-site

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). * Familiarity with AI ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

... PyTorch, or scikit-learn. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. • ...

Photon

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Tensorflow / PyTorch * Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). * Strong understanding of containerization technologies (e.g., Docker, Kubernetes). Must Have ...

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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 Dallas, TX? For Pytorch Developer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Dallas, TX look for? The top searched job categories for Pytorch Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Pytorch Developer jobs? Cities near Dallas, TX with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
AI ML engineer with Agentic AI experience

AI ML engineer with Agentic AI experience

Emergere Technologies

Plano, TX • On-site

Other

Posted 11 days ago

Job description

Position: AI ML engineer with Agentic AI experience
Experience: 11+ years

Location: Hybrid

Type: Contract

 

Job Profile:

An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases. (Primarily AI)

Knowledge of Computer vision related projects.

LLM Expertise:

  • Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks.
    • Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)
    • Structured prompt templates
    • Refinement (prompt chaining, decomposition, and verification strategies)
    • Safety, Guardrails & Compliance
  • Experience building conversational flows (chatbots).

Retrieval-Augmented Generation (RAG) :

  • Work with embedding models, vector databases, context windows, and chunking strategies
  • Work experience in Vector database (FAISS, Milvus, Pinecone or any)

Machine Learning:

  • Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems. 
  • Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks. 
  • Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.

Software Engineering:

  • Python proficiency.
  • Very good understanding and work experience with REST APIs, JSON, YAML.
  • Ability to integrate LLM prompts into production applications.
  • Familiarity with Git, version control, and experiment tracking.

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