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Tensorflow Jobs in Kansas (NOW HIRING)

Propio

AI Engineer II

Leawood, KS · On-site

$94K - $129K/yr

Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation. Preferred ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation. Preferred ...

Nebius

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). * Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers. * Strong project management skills, with the ...

EnCharge AI

$175K - $245K/yr

PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO. * Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI). * Familiarity with compiler optimizations for ...

Nvidia

$105K - $138K/yr

PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. * Strong Python and C/C++ programming skills * Strong experience in GPU kernel ...

Overstory

Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas * Familiarity with GCP and Vertex AI, or similar cloud-based ML ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Strong knowledge of machine learning frameworks (e.g., Scikit‑Learn, TensorFlow, PyTorch) * Demonstrated understanding of advanced descriptive and inferential statistics * Demonstrates expert ...

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How much do tensorflow jobs pay per year?

As of Aug 20, 2026, the average yearly pay for tensorflow in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are popular job titles related to Tensorflow jobs in Kansas?

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

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

The top searched job categories for Tensorflow jobs in Kansas are:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Research Engineer / Robotics / ML

Motion Recruitment

Lenexa, KS • On-site

Full-time

Re-posted 19 days ago

Job description

A robotics and AI team in Kansas is looking for a Research Engineer to help build the systems that power real world machine learning. This is a full-time role where you will be working across robotics, computer vision, and applied ML, using tools like ROS/ROS2, Python, C++, and PyTorch/TensorFlow.
Robots are out in the real-world collecting data, and your job is to help make sure that data is usable, structured, and feeding into machine learning models in the right way. If you are early in your career and want real exposure to robotics, ML and data systems all in one place, this is a rare setup.
Required Skills & Experience
  • 1-2 years of experience with robotics and machine learning (Internship experience acceptable)
  • Graduated with a bachelor’s degree in Computer Science
  • Experience with ROS/ROS2 frameworks
  • Proficiency in Python and C++
  • Worked with ML models (PyTorch/TensorFlow/ sklearn)
  • Experience working with data pipelines or making raw data usable for AI systems
Desired Skills & Experience
  • Exposure to robotic manipulators or mobile robot systems
  • Experience with biometric/ identity verification systems
  • Familiarity with cloud platforms
What You Will Be Doing
Tech Breakdown
  • 40% Robotics Systems
  • 35% Machine Learning
  • 25% Data Engineering
Daily Responsibilities
  • 50% Hands On
  • 30% Team Collaboration
  • 20% Systems improvement

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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