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Tensorflow Pytorch Jobs in Missouri (NOW HIRING)

AI Engineer

O Fallon, MO · On-site

$107.10K - $128.60K/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 ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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Advanced proficiency in Python, SQL, and modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience leading technically complex, ambiguous initiatives with measurable ...

Advanced proficiency in Python, SQL, and modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience leading technically complex, ambiguous initiatives with measurable ...

Advanced proficiency in Python, SQL, and modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience leading technically complex, ambiguous initiatives with measurable ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

New

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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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.

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 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.

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:

Full-time

Posted 16 days ago


Job description

Job Title: AI Developer

Location: O’Fallon, MO (On-site)

Company: Milestone Marketing Solutions

Position Overview:

We are seeking a talented and motivated AI Developer to design, build, and deploy AI-driven solutions that enhance marketing performance, automate workflows, and generate actionable insights. This role will work closely with our marketing, data, and development teams to integrate AI into client campaigns and internal systems.

Key Responsibilities:

  • Design, develop, and deploy AI/ML models for marketing applications (e.g., customer segmentation, predictive analytics, personalization engines)
  • Build and maintain data pipelines to support AI initiatives
  • Integrate AI solutions into existing marketing platforms and tools
  • Collaborate with marketing strategists to identify opportunities for AI-driven improvements
  • Optimize model performance and ensure scalability
  • Stay current with emerging AI trends, tools, and best practices
  • Document processes, models, and workflows for internal use

Required Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, AI, or a related field (or equivalent experience)
  • 2+ years of experience in AI/ML development
  • 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 integration
  • Strong problem solving and analytical skills

Preferred Qualifications:

  • Experience in marketing technology or digital marketing analytics
  • Familiarity with NLP, recommendation systems, or generative AI
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of MLOps and model deployment practices