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Tensorflow Jobs in Missouri (NOW HIRING)

Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch. * Experience with workload managers (SLURM, Argo Workflow ...

Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch. * Experience with workload managers (SLURM, Argo Workflow ...

AI Engineer

O Fallon, MO · On-site

$107K - $128K/yr

Proficiency in Python and Common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Experience with data processing and analysis (SQL, Pandas, etc) * Understanding of APIs and system ...

$42 - $55.50/hr

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

$42 - $55.50/hr

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

... like Tensorflow and Pytorch • Must have experience preparing and giving presentations to technical and non-technical audiences • Must have proficiency in R or Python • Must be authorized to ...

$147K - $156K/yr

Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar * Experience building and optimizing Retrieval-Augmented Generation (RAG) workflows * Familiarity with embedding ...

Deep Learning, Python OR R, TensorFlow or PyTorch, Data analysis, Forecasting, Master's degree (Statistics, Mathematics, Economics, Operations Research, Data Science, Engineering) Job Overview: We ...

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Tensorflow information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do tensorflow jobs pay per year?

As of Jun 22, 2026, the average yearly pay for tensorflow in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 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 the most commonly searched types of Tensorflow jobs in Missouri? The most popular types of Tensorflow jobs in Missouri are:
What are popular job titles related to Tensorflow jobs in Missouri? For Tensorflow jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Tensorflow job openings in Missouri 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 $115,129 per year, or $55.4 per hour.
: AI & ML Performance Engineer

: AI & ML Performance Engineer

SynergisticIT

Columbia, MO • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title

Knowledge of deep learning as machine learning modelling is required. Must be familiar with concepts like Regression, Neural Networks, CNN (Convolution Neural Networks), GAN, GNN, Transformer etc.

Hands-on experience with technologies like Spark, Scala, and Python are preferred.

Hands-on experience with PyTorch/TensorFlow, Data Structures and Algorithm.

Experience with deploying models on at least one cloud platform (GCP, Azure, or AWS).

Familiarity with MLOps and the ability to think critically about deployment of Machine Learning models.

Experience in or strong interest to learn relevant technologies and tools, such as MLFlow, Kubeflow, Seldon, Sagemaker, Databricks, etc.

Familiarity with Agile concepts and methodologies.

Quick learner with the ability to grasp new concepts quickly in a changing environment.

Experience in development of AI/Client based solution for use in healthcare segment is preferred.

Strong verbal and written communication skills

Required Candidate Profile

Some experience understanding the AI/Client approaches

Must understand the package management for various environments (Python, R, and Hadoop environments)

Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive, and Spark

Python, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection)

Education Requirement

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

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