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Tensorflow Jobs in Kansas (NOW HIRING)

Experience with ML frameworks (e.g.,PyTorch, TensorFlow, JAX) and software stack (e.g.,ONNX,MLIR, XLA, TVM,TensorRT,etc) ? * Expertisein writing production quality Python/C++ code? * Expertisein the ...

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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 26, 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:
What job categories do people searching Tensorflow jobs in Kansas look for? The top searched job categories for Tensorflow jobs in Kansas are:
Data Scientist

Full-time

Posted 13 days ago


Job description

Responsible for assisting in the development, implementation and maintenance of the MTN programs, applications and databases. Also responsible for statistical analysis of system and research data. Engages internal and external customers to define and develop improvements and solutions through innovative use of databases and predictive modeling technologies.
ESSENTIAL JOB FUNCTIONS
SYSTEM ADMINISTRATOR
  1. Maintains proficiency in database programming and serves as primary support and development for operational resources.
  2. Develops reporting for operational systems and polls/interprets data from the systems as requested by the leadership team.
  3. Designs system output to support internal processes through software development skills.
  4. Proactively seeks out opportunities to maintain and enhance skills as technology and software development tools evolve.
  5. Shows proficiency in Microsoft SQL Server administration, Microsoft Visual Studio, data interchange theory and practice and data security concepts.
  6. Investigates and recommends tools for data manipulation and analysis which support the MTN mission.
  7. Supports internal processes through continuous delivery and improvement of tools designed to enhance efficiency.
  8. Maintains and develops database technologies as necessary to ensure integrity of historical information and updated processes for storing and retrieving data.
  9. Supports update and configuration changes as needed for maintenance, installation and design.

BIOSTATISTICS
  1. Applies statistical techniques including but not limited to probability, regression, and linear algebra to analyze data and draw meaningful insights and conduct hypothesis testing and A/B testing to support decision-making.
  2. Maintains strong working knowledge of SAS and other applicable statistical software packages as required.
  3. Performs statistical analysis of information from MTN databases or as requested for MTN internal process improvements.
  4. Works closely with the leadership team to complete research projects.
  5. Supports data requests which support MTN relationships with external partners.

DATA SCIENCE
  1. Gathers and preprocess large datasets from multiple sources, ensuring data quality, consistency, and applying necessary cleaning and transformations to prepare data for analysis.
  2. Performs exploratory data analysis to understand data patterns and relationships and visualizes data to identify trends and anomalies.
  3. Analyzes large datasets to identify patterns, trends, and insights, applying advanced analytics, supervised / unsupervised learning, neural networks, and frameworks to generate information that informs business strategies.
  4. Develops and implements predictive models using machine learning and AI algorithms and validates and refines models to ensure their accuracy and reliability.
  5. Interprets data findings and translates them into actionable business insights, creating reports and dashboards to effectively communicate results to stakeholders.
  6. Works closely with cross-functional teams and stakeholders to define predictive modeling and AI project goals, establish KPIs, and translates business needs into actionable analytical solutions.
  7. Stays current with advancements in data science, machine learning, and AI, continuously enhancing models and processes using new data and feedback.
  8. Performs regular testing and debugging of modeling systems to resolve model drift and technical issues and identifies opportunities to leverage modeling and AI technology to improve business processes.
  9. Ensures data privacy and security standards are maintained and adheres to ethical guidelines in data handling and analysis.
  10. Maintains proficiency in tools like Python, R, SAS Viya, Apache (Spark, Hadoop, Kafka), Java, Julia, Scala, MATLAB, TensorFlow, Scikit-learn, Keras, Microsoft Azure Machine Learning, Amazon SageMaker, and Alteryx.

QUALIFICATIONS AND PHYSICAL DEMANDS
  1. Bachelor's degree in mathematics or statistics and three or more years of computer science/programming experience required.
  2. Ability to work with mathematical concepts such as probability and statistical inference.
  3. Excellent analytical and organizational skills required.
  4. Possess strong problem-solving skills, with the ability to monitor work for accuracy and thoroughness while demonstrating perseverance, change agility, and a relentless drive to find answers despite setbacks.
  5. Demonstrated commitment to understanding and anticipating client needs by engaging in an iterative discovery process to ensure effective serve delivery.
  6. Demonstrated commitment to continuous learning with a growth mindset.
  7. Excellent interpersonal, verbal and written communication skills and critical thinking skills.
  8. Must maintain a valid driver's license in accordance with MTN motor vehicle policy. Must have reliable transportation to be used with company reimbursement using IRS guidelines. Must be able to travel within the service area by ground or air.
  9. Ability to lift 15 pounds and transfer short distances.
  10. Possess ability to operate telephones, computers and office equipment.
  11. Ability to speak and communicate clearly in order to accurately convey information in person or by phone.
  12. OSHA Category III - No exposure to bloodborne pathogens while performing assigned job duties.
  13. Home internet and wireless phone access is required.

MTN BEHAVIORAL COMPETENCIES
Belonging: Intentionally connects with colleagues by embracing differences and finding commonalities to create a workplace where all employees feel safe and genuine at work. Models the philosophy that lived experiences make individuals unique by respecting and seeking to understand beliefs, values and opinions that are new or different from their own. Represents through actions and influence, the idea that diverse perspectives make MTN stronger as we serve our mission.
Respect: Builds a positive and supportive foundation inviting open, honest, and clear communication. Fosters a sensitive, supportive, and trustworthy environment, which promotes active listening and strengthens rapport throughout all interactions. Cultivates teamwork through acceptance and inclusion by valuing differences and empowering strengths.
Excellence: Demonstrates excellence by going above and beyond, while maintaining compassion and humility in all interactions. Demonstrates a high rate of achievement and success for the organization through proactive objectives centered on the overall mission and vision. Consistently models a positive attitude, a willingness to help others, and a dedication to improvement. Takes full responsibility for their role and challenges themselves to find workable solutions.
Accountability: Demonstrates the highest ethical standards, by honoring commitments to each other and professional partners. Executes all interactions through honesty and transparency. Demonstrates responsibility and integrity through ownership of the mission. Utilizes resources appropriately.
Leadership: Empowers, mentors and encourages all staff, while displaying a high-level of professionalism. Demonstrates ability to cultivate teams and relationships through open lines of communication, honesty and respect. Handles challenges with compassion by developing trust through respectful feedback and support. Acts as a resource by providing the tools, which enable others to reach their highest potential.
It is the policy of Midwest Transplant Network (MTN) to provide equal opportunity in employment to all employees and applicants for employment. No person will be discriminated against in employment because of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, ethnic origin, age, genetic information, disability, protected veteran status, arrest record, or any characteristic protected by applicable federal, state or local laws. In addition, the organization complies with applicable state and local laws governing non-discrimination in employment in every location in which the organization has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training, employee activities and general treatment during employment
MTN is committed to complying with state and federal disability laws and makes reasonable accommodations when requested by a qualified applicant or employee with a disability to enable the applicant or employee to be considered for the position they desire, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation would impose an undue hardship on the operation of MTN's mission.