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Tensorflow Pytorch Jobs in Missouri (NOW HIRING)

Jobgether

Solid expertise with machine learning and deep learning frameworks including PyTorch, TensorFlow, Scikit-learn, or equivalent tools. * Previous experience with Computer Vision, Optical Character ...

Deloitte

CyberArk Senior Consultant

Kansas City, MO · On-site

$53 - $70.25/hr

... as TensorFlow or PyTorch. Company : Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

Proficient in Python , SQL , and hands-on with PyTorch , TensorFlow/Keras , Scikit-learn , and statsmodels . * Demonstrated ability to work on GPU-based model training pipelines , and exposure to ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

Proficient in Python , SQL , and hands-on with PyTorch , TensorFlow/Keras , Scikit-learn , and statsmodels . * Demonstrated ability to work on GPU-based model training pipelines , and exposure to ...

Sam's Club

(USA) Data Scientist III

Cassville, MO · On-site

$90K - $180K/yr

Strong programming skills in Python and SQL, plus experience with common ML libraries and open-source frameworks such as ADK, LangGraph, scikit-learn, PyTorch, or TensorFlow. * Hands-on experience ...

Walmart

Data Scientist III

Cassville, MO · On-site

$90K - $180K/yr

Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark, TensorFlow and/or PyTorch, and a strong understanding of GPU utilization. Extensive hands-on experience in ...

Washington University of St. Louis

... PyTorch, scikit-learn, Tensorflow, Web Application Frameworks, Work Collaboratively Grade G11-H Questions For frequently asked questions about the application process, please refer to our External ...

Walmart

(USA) Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

Washington University of St. Louis

... PyTorch, TensorFLow, Keras), neuroimaging analysis tools (e.g., PMOD, SPM, FSL) and statistical genetics (GWAS, PRS, etc.) and related tools (e.g., PLINK). * Experience with either 3D image ...

Walmart

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Proficiency in Python and strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision,Hugging Face, GPU deepstream. * Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine ...

MasterCard

Senior Software Engineer

O Fallon, MO

$114K - $151K/yr

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

Walmart

Data Scientist III

Anderson, MO · On-site

$90K - $180K/yr

Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark, TensorFlow and/or PyTorch, and a strong understanding of GPU utilization. Extensive hands-on experience in ...

Save A Lot

IT Principal Data Engineering

Saint Ann, MO · On-site

$96K - $160K/yr

Familiarity with ML frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow * MLflow or similar tools for experiment tracking, model registry, and deployment * Understanding of feature ...

Walmart

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark, TensorFlow and/or PyTorch, and a strong understanding of GPU utilization. Extensive hands-on experience in ...

Walmart

Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark, TensorFlow and/or PyTorch, and a strong understanding of GPU utilization. Extensive hands-on experience in ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Missouri

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

Senior Data Scientist

Jobgether

On-site, Remote

Contractor

Posted 11 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Netherlands.

This is an exciting opportunity to lead the development of an advanced AI-powered document intelligence platform that tackles complex, real-world data challenges. In this role, you will combine expertise in machine learning, generative AI, and scientific data analysis to transform unstructured documents into searchable, actionable knowledge. Working alongside multidisciplinary experts, you will design scalable AI solutions, develop production-ready ML pipelines, and leverage cloud technologies to deliver high-impact outcomes. The position offers significant technical ownership, exposure to cutting-edge technologies, and the chance to contribute to innovative projects at the intersection of AI and scientific research. If you thrive on solving challenging problems and building intelligent systems from the ground up, this role offers an outstanding opportunity to make a meaningful impact.

Accountabilities:
  • Design, develop, and optimize advanced machine learning and deep learning models capable of extracting, interpreting, and structuring information from unstructured and scanned PDF documents, including complex scientific data.
  • Build and enhance Large Language Model (LLM) applications by leveraging vector databases and retrieval-augmented generation (RAG) techniques to enable semantic search and intelligent document discovery.
  • Own the full machine learning lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, monitoring, and continuous optimization.
  • Apply domain expertise to convert complex scientific or chemical information into machine-readable representations that support advanced analytics and AI-driven insights.
  • Deploy scalable, secure, and production-ready AI solutions within AWS cloud environments while ensuring performance, reliability, and maintainability.
  • Collaborate closely with software engineers, data engineers, and subject matter experts to integrate AI models into production systems and align technical solutions with business objectives.
  • Continuously evaluate emerging AI, machine learning, and document intelligence technologies to improve platform capabilities and solution effectiveness.
Requirements
  • Minimum of 5 years of professional experience as a Data Scientist delivering production-grade machine learning solutions.
  • Strong academic or professional background in Chemistry, Cheminformatics, or a closely related scientific discipline, with experience working with complex scientific data.
  • Advanced proficiency in Python and extensive hands-on experience with AWS cloud services such as SageMaker, Lambda, S3, EC2, or similar technologies.
  • Practical experience developing applications with Large Language Models (LLMs), including prompt engineering, fine-tuning, API integration, or retrieval-augmented generation (RAG).
  • Experience working with vector databases such as Pinecone, Milvus, Weaviate, Qdrant, or similar semantic search technologies.
  • Solid expertise with machine learning and deep learning frameworks including PyTorch, TensorFlow, Scikit-learn, or equivalent tools.
  • Previous experience with Computer Vision, Optical Character Recognition (OCR), Document AI, or intelligent document processing solutions is highly desirable.
  • Excellent analytical thinking, problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Availability to join immediately is preferred.
  • Comfortable working remotely within European Central Time (CET) hours.
Benefits
  • Fully remote position with collaboration across the European CET time zone.
  • Immediate opportunity to contribute to a high-impact, cutting-edge AI project.
  • Short-term B2B contract (approximately 2 months) with the potential to expand your professional network through innovative initiatives.
  • Opportunity to work with advanced technologies, including Generative AI, LLMs, vector databases, cloud-native AI solutions, and intelligent document processing.
  • Collaborative environment that values knowledge sharing, technical excellence, continuous learning, and innovation.
  • High level of autonomy, ownership, and flexibility with a strong focus on delivering impactful outcomes.
  • Access to a community of experienced AI and machine learning professionals through collaborative projects, mentorship opportunities, and innovation initiatives.
  • Opportunity to contribute to meaningful AI solutions that solve complex scientific and data-intensive challenges.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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