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Tensorflow Pytorch Jobs in Kentucky (NOW HIRING)

Bespoke Technologies, Inc.

$120 - $180/hr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

New

Altamira Technologies Corp.

$140 - $190/hr

Design and implement scalable, high-performance infrastructures for real-timeobject detectionandtrackingusing frameworks like PyTorch or TensorFlow. * Intelligent Triaging:Develop automated triage ...

Posted today

D-Matrix Corp.

$250 - $350/hr

Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation. * Work experience at a cloud provider or AI compute/subsystem company. Equal ...

Posted today

Jobzhr

$150 - $190/hr

Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX * Expertise in ...

Posted today

Jobzhr

$180 - $225/hr

Experience with RAG, PyTorch, TensorFlow, or HuggingFace * Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.

Qualcomm

$127 - $190/hr

Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX## Preferred Qualifications* 2+ years Python programming experience* Experience / exposure to ...

New

Intangible Technology Inc.

$140 - $190/hr

Proficient in Python and ML libraries (e.g., PyTorch, TensorFlow). * Ability to ship features end-to-end. Ideal Candidate Has: * Experience building AI copilots. * Experience building recommendation ...

Posted today

Trading Interview

$150 - $230/hr

Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments * Hands‑on experience applying deep learning on time series data * Strong ...

New

Nexxen International

$160 - $200/hr

Experience in Neural Networks, Deep Learning, TensorFlow, and/or PyTorch. Experience with Spark/PySpark. Experience with latency-sensitive scalable machine learning models. In support of pay ...

New

Trading Interview

$120 - $180/hr

Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax * Intellectual curiosity, adaptability, and a collaborative mindset Note: This fellowship ...

New

Barbaricum

$140 - $190/hr

Demonstrated experience with LLMs, RAG, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Experience using AWS GovCloud (COSMOS) or comparable secure cloud environments to ...

Qualcomm

$179 - $269/hr

Define requirements for AI frameworks and runtimes such as PyTorch, TensorFlow, ONNX Runtime, llama.cpp, and containerized AI workflows.* Partner with engineering to optimize local AI inferencing and ...

New

NVIDIA Corporation

$184 - $288/hr

Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask * Ability to communicate ideas and share code clearly through blog posts, GitHub * Enjoy working with ...

Posted today

RadNet, Inc.

$120 - $190/hr

Experience in PyTorch, Keras/Tensorflow. * Experience in explainable AI. * Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you have worked on PINN or ...

Sciotex

$110 - $170/hr

Experience with deep-learning vision models and frameworks such as PyTorch, TensorFlow, ONNX, or TensorRT. * Background in optics, photonics, computational imaging, 3D vision, structured light ...

New

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Tensorflow Pytorch information

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 are popular job titles related to Tensorflow Pytorch jobs in Kentucky?

For Tensorflow Pytorch jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Kentucky look for?

The top searched job categories for Tensorflow Pytorch jobs in Kentucky are:

What cities in Kentucky are hiring for Tensorflow Pytorch jobs?

Cities in Kentucky with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you

Data Scientist

Bespoke Technologies, Inc.

On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

BT-388– Data Scientist

Skill Level- Subject Matter Expert

Location: McLean, VA (fully on-site, no remote option)

Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.

Required Skills
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Develop practical approaches for measuring performance.
  • Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conduct advanced statistical analysis on personnel and performance metrics.
  • Assist in selection or development of appropriate methodology to conduct research.
  • Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
Desired Skills
  • Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Demonstrated experience with cloud computing development and architecture
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
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