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Tensorflow Jobs in Missouri (NOW HIRING)

Software Engineer

Saint Louis, MO · On-site

$30 - $47/hr

Design and implement scalable AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. * Collaborate with data scientists, software engineers, and domain experts to integrate ...

New

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 ...

... 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 ...

Data Scientist

Saint Louis, MO · On-site

$100K - $140K/yr

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 ...

Lead Data Scientist

Saint Louis, MO · Hybrid

$140K - $175K/yr

... Tensorflow, Sklearn and XGboost; creating & deploying CI/CD pipelines with Artifactory; performing code documentation, unit testing & code modularization; using GitLab to track code history & perform ...

Lead Data Scientist

Saint Louis, MO · Hybrid

$140K - $175K/yr

... Tensorflow, Sklearn and XGboost; creating & deploying CI/CD pipelines with Artifactory; performing code documentation, unit testing & code modularization; using GitLab to track code history & perform ...

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions. * Databricks Specific Skills:

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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 Jul 19, 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 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 the most commonly searched types of Tensorflow jobs in Missouri? The most popular types of Tensorflow jobs in Missouri are:
Senior AI/ML Scientist

Senior AI/ML Scientist

GLOBAL IT CON LLC

Saint Louis, MO • On-site

Other

Posted 27 days ago


Job description

Position: Senior AI/ML Scientist
Location: St. Louis, MO (Hybrid)
Type: Contract
Experience: 8 10+ Years

Job Summary

We are seeking a highly skilled Senior AI/ML Scientist to design, build, and scale machine learning systems that drive personalization, customer intelligence, and data-driven decision-making. The ideal candidate will work at the intersection of traditional machine learning, advanced statistical modeling, and emerging Generative AI and Agentic AI technologies to deliver impactful business solutions.

Key Responsibilities

Design, develop, and deploy production-grade propensity models, recommendation engines, and predictive machine learning solutions.

Lead applied research initiatives and perform rigorous statistical analysis to support model development and business strategy.

Build, train, and operationalize machine learning models on Google Cloud Platform (Google Cloud Platform) using services such as Vertex AI, BigQuery ML, Dataflow, and Cloud Run.

Develop and integrate Generative AI and Agentic AI capabilities into existing ML workflows and business applications.

Collaborate with data engineering teams to design feature stores, model training pipelines, and monitoring frameworks.

Translate complex business challenges into scalable machine learning solutions.

Present findings and recommendations to both technical and non-technical stakeholders.

Mentor junior data scientists and contribute to best practices across modeling, experimentation, and MLOps.

Required Qualifications

8 10+ years of experience in Machine Learning, Data Science, or related fields.

Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Machine Learning, Applied Mathematics, or a related quantitative discipline.

Strong experience building and deploying machine learning models in production environments.

Expertise in propensity modeling, recommendation systems, predictive analytics, and statistical analysis.

Hands-on experience with Google Cloud Platform (Google Cloud Platform), including Vertex AI, BigQuery, Dataflow, and Cloud Run.

Strong knowledge of Generative AI and Agentic AI concepts, including:

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Agent Frameworks
  • Model Evaluation Techniques

Advanced Python programming skills.

Experience with machine learning frameworks such as:

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
Required Skills

Machine Learning
AI/ML Model Development
Recommendation Systems
Propensity Modeling
Statistical Analysis
Generative AI
Agentic AI
LLMs
RAG
Prompt Engineering
Python
TensorFlow / PyTorch
Google Cloud Platform (Google Cloud Platform)
Vertex AI
BigQuery
MLOps