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Tensorflow Pytorch Jobs in Florissant, MO (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$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:

Koantek

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:

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site

$85 - $115/hr

Must have experience using libraries like tensorflow or pytorch * Must have experience preparing and giving presentations to technical and non‑technical audiences * Must have proficiency in R or ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Solid applied knowledge of ML fundamentals - predictive modeling, deep learning (PyTorch, TensorFlow), and statistical techniques - used in tandem with Gen AI for hybrid, interpretable systems.

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site

Must have experience using libraries like tensorflow or pytorch * Must have experience preparing and giving presentations to technical and non-technical audiences * Must have proficiency in R or ...

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs, for building knowledge-driven solutions. * Experience integrating models ...

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs, for building knowledge-driven solutions. * Experience integrating models ...

Boeing

Experienced Data Scientist

Hazelwood, MO

Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs, for building knowledge-driven solutions. * Experience integrating models ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs, for building knowledge-driven solutions. * Experience integrating models ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

... PyTorch, TensorFlow), and statistical techniques - used in tandem with Gen AI for hybrid, interpretable systems. • Excellent Python engineering skills including async programming, API development ...

Safety National

Senior Data Scientist

Saint Louis, MO · On-site

Strong proficiency with Python or R and relevant machine learning libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch. * Strong understanding of statistical modeling, machine learning ...

Mastercard, Inc.

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

... g., PyTorch, TensorFlow, Hugging Face) for model development, tuning, or serving Core Engineering Skills • Strong Java engineering expertise, including designing, developing, testing, and ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Must have experience using libraries like tensorflow or pytorch * Must have experience preparing and giving presentations to technical and non-technical audiences * Must have proficiency in R or ...

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Showing results 21-40

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Florissant, MO

Tensorflow Pytorch information

See Florissant, MO salary details

$34.6K

$113.2K

$181.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 20, 2026, the average yearly pay for tensorflow pytorch in Florissant, MO is $113,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $125,400.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What cities near Florissant, MO are hiring for Tensorflow Pytorch jobs?

Cities near Florissant, MO with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Florissant, MO as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $113,197 per year, or $54.4 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 24 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. 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: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

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