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Tensorflow Jobs in Kansas (NOW HIRING)

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

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

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 ...

... keras, tensorflow, pymc3, etc.) * 2+ years professional experience working with real-world, complex datasets * Experience communicating technical results to semi-technical audience * Preferred

... keras, tensorflow, pymc3, etc.) * 2+ years professional experience working with real-world, complex datasets * Experience communicating technical results to semi-technical audience * Preferred

$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 ...

Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch). * A solid understanding of embedding processes, vector databases, RAG systems ...

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 ...

Experience integrating models built with frameworks such as PyTorch, TensorFlow, or Keras into scalable pipelines. * Demonstrated experience working with temporal data, ideally including sensor ...

Experience integrating models built with frameworks such asPyTorch, TensorFlow, orKerasinto scalable pipelines. * Demonstrated experience working with temporal data, ideally including sensor-derived ...

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Tensorflow information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do tensorflow jobs pay per year?

As of Jun 19, 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 kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing, training, 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 is a TensorFlow job?

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.

Which 3 jobs will survive AI?

TensorFlow professionals, data scientists, and AI engineers are likely to continue thriving as AI advances, since their roles involve developing, training, and maintaining machine learning models. These jobs require specialized skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and certification in AI tools can help ensure job security in this evolving field.

What job makes $10,000 a month without a degree?

In the field of TensorFlow and machine learning, roles such as freelance AI developer, data scientist, or machine learning engineer can earn $10,000 or more per month with strong skills and experience, often without a formal degree. These positions typically require proficiency in programming, deep learning frameworks, and project portfolios, and may involve remote work or contract-based projects.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

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 is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in TensorFlow, deep learning, and data science. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, with compensation reflecting expertise and impact on business outcomes.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

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 are popular job titles related to Tensorflow jobs in Kansas? For Tensorflow jobs in Kansas, the most frequently searched job titles are:
Infographic showing various Tensorflow job openings in Kansas as of June 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.
AI Engineer II - Translation

AI Engineer II - Translation

Propio Language Services

Overland Park, KS โ€ข On-site

Full-time

Posted 5 days ago


Job description

Job Type
Full-time
Description
Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We're committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.
We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the translation team and the AI Engineers. This role focuses on developing neural machine translation models optimized for low-resource and specialized languages, improving post-editing workflows, and integrating AI seamlessly with linguist workflows to deliver faster and more accurate translations.
Key Responsibilities:
  • Design, train, and deploy neural machine translation (NMT) systems for multilingual scenarios, with emphasis on low-diffusion languages.
  • Optimize models for low-resource and specialized domain languages, leveraging techniques like transfer learning and few-shot adaptation.
  • Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs.
  • Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback.
  • Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback.
  • Continuously evaluate and benchmark model performance using standardized metrics (BLEU, COMET) and custom domain-specific metrics.
  • Stay current with research advancements in multilingual NLP and low-resource translation techniques.

Requirements
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Computational Linguistics, Statistics, or related field.
  • Strong background in NLP and machine translation systems.
  • Proven experience optimizing models for low-resource or underrepresented languages.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation.

Preferred Qualifications:
  • Prior work in translation, interpretation, summarization, or cross-lingual QA
  • Contributions to open-source NLP projects and translation quality projects
  • Experience working with speech-to-text pipelines or multimodal systems

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