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Tensorflow Jobs in Kansas (NOW HIRING)

Propio

AI Engineer II - Translation

Leawood, KS · On-site

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 ...

StackAdapt

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 ...

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 ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

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How much do tensorflow jobs pay per year?

As of Jul 27, 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 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.

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 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:
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 July 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% 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 • On-site

Full-time

Posted 12 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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