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Pytorch Developer Jobs in Pearland, TX (NOW HIRING)

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn). * Cloud (AWS) and containerization ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Proficient in Python and PyTorch with clean coding practices. * Theoretical Core: Solid ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

Proficient in Python and PyTorch with clean coding practices. * Theoretical Core: Solid ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Scalence L.L.C.

AI ML Software Engineer

Houston, TX · On-site

... PyTorch, Scikit-learn, and OpenAI API. • Experience with cloud computing platforms (e.g., AWS ... prompt engineering. Preferred : • Familiarity with the financial services industries. • ...

DPR Construction

MLOps Engineer

Houston, TX

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling ... PyTorch or Scikit-learn Required Skills * Experience with CI/CD processes and automation

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... as PyTorch, ONNX, and TensorRT . * Experience with real-time embedded systems and handling large ...

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Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... as PyTorch, ONNX, and TensorRT . * Experience with real-time embedded systems and handling large ...

New

Yantran LLC

Customer Delivery Head

Texas City, TX · On-site

Proficiency in programming languages such as Python, Java, or C++. Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn). Strong understanding of machine ...

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... Engineer to develop their unified behavioral architecture. This role involves bridging the gap ... PyTorch; strong understanding of modern deep learning architectures and optimization techniques ...

Dow Chemical

Machine Learning Engineer

Kemah, TX · On-site

$120 - $160/hr

... DevOps/platform engineers, data scientists, and domain experts as part of a comprehensive MLOps ... Works proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as ...

Posted today

Dow Chemical

Machine Learning Engineer

Manvel, TX · On-site

$120 - $190/hr

... DevOps/platform engineers, data scientists, and domain experts as part of a comprehensive MLOps ... Works proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in Pearland, TX

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 Pearland, TX? For Pytorch Developer jobs in Pearland, TX, the most frequently searched job titles are:
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Pytorch Developer jobs near you

Senior Machine Learning Engineer

Beth Page tech

Houston, TX • On-site

$99K - $137K/yr

Contractor

Re-posted 13 days ago

Job description

Job Title: Senior Machine Learning Engineer

Location: Houston, TX

Environment: Standard, 5-days onsite

Job Description :

 

Must-Have (Technical Expertise & Core Responsibilities)

  • Deep Neural Networks (DNN):
    • Hands-on experience with CNN, RNN, Graph Neural Networks, and transformers.
    • Proficiency in hyperparameter optimization, autoencoders, model evaluation, and error metrics.
  • Generative AI:
    • Strong knowledge of LLMs (BERT, GPT, etc.), embeddings, and supervised fine-tuning.
    • Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI.
    • Familiarity with GraphRAG and LLM-as-a-judge architectures.
  • Predictive Analytics:
    • Expertise in classification, regression, anomaly detection, and sequence modeling.
    • Practical application of NLP techniques (sentiment analysis, entity recognition) and knowledge graphs.

Core Responsibilities:

  • Design, train, and optimize DNN and generative models for real-world business problems.
  • Implement LLM-based solutions (fine-tuning, RAG, agents) to enhance decision-making.
  • Develop predictive models for trading, risk assessment, and operational efficiency.
  • Collaborate with teams to integrate AI/ML solutions into production systems.
  • Rigorously evaluate models using appropriate metrics and error analysis.

Qualifications & Skills:

  • Master’s/Ph.D. in Computer Science, ML, or related field.
  • 5-7+ years of industry experience in applying DNN, generative AI, and predictive analytics.
  • Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn).
  • Cloud (AWS) and containerization (Docker) experience.

Nice-to-Have (Preferred Experience):

  • Production experience with GenAI models in the energy/commodities trading sector.
  • Experience with interactive dashboards (Dash, Streamlit) and time series modeling.
  • Knowledge of data orchestrators (Airflow, Dagster) and CI/CD pipelines.