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Tensorflow Pytorch Jobs in Missouri (NOW HIRING)

TECHNOLOGY PARTNERS INC

Data Scientist

Clayton, MO · On-site

$67.50 - $96.43/hr

Do you have experience designing and deploying deep learning models using tools like TensorFlow or PyTorch, along with strong predictive modeling skills? Let us help you make your next big career ...

rossvideo

$42 - $55.50/hr

  • Medical

  • PTO

Experience with PyTorch, TensorFlow, ONNX, or similar ML tools in an audio context is a plus #LI-Remote

rossvideo

$42 - $55.50/hr

  • Medical

  • PTO

Experience with PyTorch, TensorFlow, ONNX, or similar ML tools in an audio context is a plus #LI-Remote

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

Must have experience using libraries like Tensorflow and Pytorch * Must have experience preparing and giving presentations to technical and non-technical audiences * Must have proficiency in R or ...

Yasp

Software Developer - ML/AI Compiler

California, MO · On-site

$80 - $120/hr

Experience with ML frameworks (e.g., PyTorch , TensorFlow , ONNX , TensorRT ) or compiler stacks. Experience with compiler IRs, graph algorithms and performance optimization work. Understanding of ...

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Tensorflow Pytorch information

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Missouri?

For Tensorflow Pytorch jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Missouri look for?

The top searched job categories for Tensorflow Pytorch jobs in Missouri are:

What cities in Missouri are hiring for Tensorflow Pytorch jobs?

Cities in Missouri with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you

Lead, Staff, and Senior Level Software Engineer - Perception Roles

well-funded deeptech startup

California, MO • On-site

$140 - $230/hr

Other

Posted 2 days ago

New

Job description

Lead, Staff, and Senior Level Software Engineer – Cutting Edge Automated Guided Vehicle Tech Company – $140K-230k Plus bonus and stock options

This recently funded startup is automating the construction and mining space by retrofitting existing industrial vehicles to make them autonomous. Work alongside industry experts to develop autonomous systems using off-the-shelf components including cameras, microprocessors and lidar sensors and write machine learning software to make the work of mining and building more environmentally sound and safer.

Job Responsibilities:
  • Develop the whole perception stack and own the vision for perception.
  • Apply machine learning techniques, including deep learning, to train and fine-tune models for varied perception tasks.
  • Identify and troubleshoot issues related to perception software, addressing challenges in data quality, algorithmic performance, and system integration.
Must Haves:
  • M.S. or Ph.D. in Electrical Engineering, Computer Science, Robotics, Physics, Applied Mathematics or related technical field
  • Strong programming skills in C/C++ and Python
  • Expertise in deep-learning frameworks (PyTorch and TensorFlow)
  • Knowledge and experience of lidar, sensor fusion, prediction and tracking.
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