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Tensorflow Pytorch Jobs in Missouri (NOW HIRING)

APC Integrated Services

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 ...

Sensiple Inc.

AI Technical Lead

Saint Louis, MO · On-site

TensorFlow PyTorch Scikit-learn LangChain LlamaIndex * Experience with REST APIs and microservices architecture. Cloud & Data Platforms: * Experience with cloud platforms such as Amazon Web Services ...

Jobgether

$48.50 - $64/hr

Experience working with leading open-source AI and machine learning frameworks such as TensorFlow, PyTorch, or similar technologies. * Knowledge of AI system architecture, data pipelines, machine ...

Walmart

Principal, Data Scientist

Noel, MO

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

Walmart

Principal, Data Scientist

Cassville, MO

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

Walmart

Principal, Data Scientist

Anderson, MO

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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.

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 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.

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 are popular job titles related to Tensorflow Pytorch jobs in Missouri? For Tensorflow Pytorch jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Missouri look for? The top searched job categories for Tensorflow Pytorch jobs in Missouri are:
What cities in Missouri are hiring for Tensorflow Pytorch jobs? Cities in Missouri with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
AI Engineer (Agentic AI Experience)

AI Engineer (Agentic AI Experience)

CYNET SYSTEMS

Saint Louis, MO • On-site

$65/hr

Contractor

Posted 28 days ago

Job description

Job Overview:

Responsibilities:

  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and implement agentic AI workflows and multi-agent systems for production use cases.
  • Contribute to architecture and design of scalable AI solutions and intelligent systems.
  • Develop and optimize models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Work on AI techniques including natural language processing (NLP), computer vision, and advanced analytics.
  • Integrate AI solutions with big data platforms and cloud environments (AWS, Azure, Google Cloud).
  • Analyze large and complex datasets to extract insights and improve model performance.
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
  • Participate in Agile development processes, including sprint planning and stand-ups.
  • Maintain documentation and ensure best practices in AI development and deployment.

Required Qualifications:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field, or Bachelor’s degree with 5+ years of experience.
  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong programming skills in Python or R.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with NLP, computer vision, or other AI techniques.
  • Familiarity with big data technologies such as Hadoop and Spark.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in Agile environments using tools like Azure DevOps or Scrum.

Must Have:

  • Hands-on experience building and deploying Agentic AI workflows in real-world projects.
  • Experience with modern multi-agent architectures.
  • Strong understanding of agentic frameworks and tools.
  • Ability to contribute to system architecture and design decisions.

Preferred Qualifications:

  • Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified, Azure Fundamentals).
  • Experience managing multiple AI projects simultaneously.
  • Strong organizational and collaboration skills.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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