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Tensorflow Pytorch Jobs in Kentucky (NOW HIRING)

$114 - $171/hr

Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).* Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.* Experience with Agentic ...

New

$140 - $190/hr

Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC. * Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers ...

Posted today

$170 - $230/hr

Proficiency in Python and C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar; experience with embedded systems and sensor integration (cameras, LIDAR, RADAR ...

New

$150 - $190/hr

Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, PyTorch ...

New

$120 - $150/hr

CNN, Recurrent, etc.) and its applications (e.g. - object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.) * Familiarity with big ...

New

$95 - $130/hr

Proficiency with programming and data analysis using Python, Spark, and ML frameworks (NumPy, Pandas, Sci-kit Learn, XGBoost, TensorFlow, PyTorch).* Strong mathematical foundation in statistics ...

New

$195 - $260/hr

Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Cloud & Big Data: Demonstrated experience operating within cloud ...

New

$87 - $294/hr

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). * Experience working with language models like LLM's APIs ...

New

$155 - $175/hr

Proficient in frameworks, tools, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and Jupyter Notebook. * Agentic AI Frameworks: Proven experience building stateful, multi-agent ...

New

$70 - $206/hr

Proficiency in Python and python‑based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. * Experience working with language models like LLM's APIs ...

New

$195 - $259/hr

Deep technical knowledge of industry-standard AI/ML frameworks such as TensorFlow, PyTorch, Keras, and Scikit-Learn. * Cloud & MLOps: Proven experience with AWS machine learning services (e.g ...

New

$107 - $161/hr

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with Google ADK or similar Google AI/ML platforms and SDKs. Strong front-end development skills, particularly ...

Posted today

$170 - $213/hr

Expertise in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, with a strong understanding of NLP, predictive modeling, and neural networks. * Hands‑on experience with MLOps ...

$190 - $285/hr

Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures. * Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring. * Strong ...

$170 - $240/hr

Experience with ML frameworks and tooling such as TensorFlow, PyTorch, or equivalent. * Experience with data engineering and building end-to-end ML pipelines, including both batch and real-time ...

New

$140 - $215/hr

The candidate should have expert level knowledge of a few of the various frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio, etc.

New

$95 - $120/hr

Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow) * Experience with LLMs, vector databases, and RAG pipelines * Familiarity with MLOps workflows ...

$180 - $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

Showing results 21-40

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:

GenAI App Developer Lead Analyst - Python - Vice President

Citibank (Switzerland) AG

On-site

$114 - $171/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

## GenAI App Developer Lead Analyst - Python - Vice PresidentApplyremote type: Hybridlocations: Tampa Florida United Statestime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 6, 2026 (30 days left to apply)job requisition id: 26958117We are seeking an experienced, motivated and technically proficient **Senior Python Application Developer** with **9+ years of hands-on experience** to design, develop, and deliver robust, performant and scalable applications. This role demands deep technical expertise and a strong focus on execution, preferably within finance and risk domains.**Key Technical Responsibilities:*** Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.* Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.* Enforce industry-standard SDLC best practices and contribute to code quality through reviews.* Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery.* Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain.* Manage project technical aspects, including planning, governance, and taking ownership of initiatives.* Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.**Required Technical Qualifications:****I. Core Python & System Development:*** **9+ years** of hands-on experience in Application Development, primarily with Python.* **Expert-level Python 3.x proficiency** for scalable, resilient, and high-performance applications.* Advanced knowledge of Python frameworks (FastAPI, SqlAlchemy), best practices, and design patterns.* Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).* Extensive experience with relational (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Redis), including advanced SQL.* Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.* Hands-on experience with CI/CD systems (Tekton/Jenkins/GitHub Actions, Harness/GitLab CI) for automated deployment.* Highly experienced with Unix-based operating systems.**II. Cloud & DevOps:*** A working understanding of containerization (Docker) and Kubernetes orchestration.* Able to troubleshoot/debug and optimize performance on distributed systems.* Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.* Solid understanding of secure coding practices and application security principles (OWASP Top 10).* Expertise in Git for standard branching and pull request workflows.**III. Artificial Intelligence (AI) Integration (Exposure):*** Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).* Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.* Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.* Understanding and practical application of Generative AI concepts in software development.**Professional Skills:*** Deep understanding and practical experience with Agile/Scrum methodologies.* Exceptional ability to manage priorities and tasks effectively.* Strong analytical, logical, systems thinking, and critical analysis skills.* Excellent written and verbal communication for diverse audiences.* Ability to work independently, take ownership, and collaborate effectively in global teams.**Desirable Qualifications:*** Self-starting and problem solving nature.* Polyglot Programming Exposure (e.g. other language likes Java, C# or other paradigms such as imperative/functional/reactive programming).* Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.* Frontend Development (React, Angular, Vue.js).* Relevant Cloud or Industry Certifications.* Experience with banking domain (pricing, risk), CFA/FRM certification.**Education:*** Bachelor’s degree/University degree or equivalent experience* Master’s degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.------------------------------------------------------## **Job Family Group:**Technology------------------------------------------------------## **Job Family:**Applications Development------------------------------------------------------## **Time Type:**Full time------------------------------------------------------## **Primary Location:**Tampa Florida United States------------------------------------------------------## **Primary Location Full Time Salary Range:**$113,840.00 - $170,760.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------## **Most Relevant Skills**Please see the requirements listed above.------------------------------------------------------## **Other Relevant Skills**For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------## **Anticipated Posting Close Date:**Jun 06, 2026------------------------------------------------------*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.**If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.* #J-18808-Ljbffr