1

Tensorflow Pytorch Jobs in Delaware (NOW HIRING)

CCB Risk Program Associate

Wilmington, DE

$57K - $57K/yr

Proficiency in Python, TensorFlow, PyTorch, Spark, or Scala, coupled with experience in big data technologies such as Hadoop, AWS, and Hive, and familiarity with MLOps tooling that supports model ...

Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code. * Solid ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn * Multiple years working with structured and unstructured data within a cloud-based data ...

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Proficiency in statistical programming languages such as Python, R, or SAS, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Strong understanding of statistical modeling ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

Proficiency in Python, TensorFlow, PyTorch, Spark, or Scala, coupled with experience in big data technologies such as Hadoop, AWS, and Hive, and familiarity with MLOps tooling that supports model ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn * Multiple years working with structured and unstructured data within a cloud-based data ...

Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code. * Solid ...

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

Demonstrated 4+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands ...

Showing results 21-34

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 Delaware?

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

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

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

What cities in Delaware are hiring for Tensorflow Pytorch jobs?

Cities in Delaware with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Applied AI/ML - Vice President

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 8 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description


This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.
As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.
Job responsibilities
  • Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
  • Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Communicate AI/ML capabilities and results to both technical and non-technical audiences.
  • Build AI Agents and chatbot
  • Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required qualifications, capabilities, and skills
  • Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures.
  • Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

Preferred qualifications, capabilities, and skills
  • Familiarity with the financial services industries.
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
  • Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom