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Tensorflow Pytorch Jobs in Connecticut (NOW HIRING)

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar. * Proficiency in programming languages such as Python, Java, or .NET. * Experience with ...

Catalyst Labs

ML Engineer

Stamford, CT · On-site

... PyTorch or TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • ...

Catalyst Labs

ML Engineer

Greenwich, CT · On-site

... PyTorch or TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • ...

Cisco

Applied AI Scientist

Stamford, CT

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills: * Hands ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills: * Hands ...

Munich Re

Senior Data Scientist

Hartford, CT

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills: * Hands ...

Munich Re

Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills:

Munich Re

Data Scientist

Hartford, CT

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills:

Munich Re

Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills:

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Programming experience in PyTorch and/or TensorFlow. Physical Demands: * This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT. * Available nights, weekends, and holidays ...

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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?

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 Connecticut?

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

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

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Connecticut as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Software Engineer II-Hybrid Role

Payarc LLC

Greenwich, CT • On-site

Full-time

Posted 10 days ago

Job description

Job Type
Full-time
Description
Company Description
Payarc is a technology-driven payments company built to empower people and improve their organizations, one payment at a time. What began as smart, simple payment-processing tools and products has grown into a broader platform, backed by a team of world-class experts and top technology talent. We help new businesses get started, increase our customers' revenues, and bridge the gap between merchants and modern payment solutions-giving companies the tools they need to change the future of their business.
Position Summary
The Software Engineer II is a mid-level engineering role responsible for designing, developing, testing, and maintaining scalable software solutions with limited guidance. This role owns features and components end-to-end and collaborates with cross-functional teams to deliver high-quality payment applications, services, and systems.
The Software Engineer II contributes across all phases of the software development lifecycle-from requirements analysis through deployment and ongoing support-and is expected to uphold Payarc's engineering standards and secure, PCI DSS-compliant data-handling practices.
Essential Duties and Responsibilities
  • Design, develop, and maintain software applications, APIs, and backend services with limited guidance
  • Build and integrate secure APIs and services, including payment-related functionality, in compliance with PCI DSS
  • Write clean, maintainable, and well-documented code
  • Participate in code reviews and pull requests-both giving and receiving constructive feedback-and follow engineering best practices
  • Collaborate with product managers, UI/UX designers, and other engineers to deliver features that meet user and business needs
  • Debug, test, and resolve technical issues of moderate complexity, including production defects surfaced through monitoring tools
  • Contribute to system architecture and design discussions
  • Optimize application performance, scalability, and reliability
  • Ensure security, privacy, and data-protection standards are followed, including secure handling of sensitive and cardholder data
  • Evaluate and adopt new technologies and tools that improve development efficiency
  • Mentor and support Software Engineer I team members as needed
  • Participate in Agile/Scrum ceremonies using JIRA and Confluence (as applicable)

Technology Environment
Payarc engineers work across a broad, modern technology stack. Depending on the team and project, you may work with:
  • Backend: PHP (Laravel, Nova, Apiato) and services in languages such as Java, C#, Python, Go, and C++
  • Frontend: JavaScript with React and Angular, plus jQuery; HTML5, CSS3, LESS/SASS; Material Design
  • Mobile: native Android (Kotlin, Java) and iOS (Swift, Objective-C), with cross-platform work in React Native/Flutter; libraries such as Retrofit, OkHttp, and Firebase
  • Data: relational databases (MySQL, Oracle, Firebird) and NoSQL data stores
  • Cloud & DevOps: Amazon Web Services (AWS), Git/GitHub, CI/CD pipelines, Docker, and Kubernetes
  • Payments & security: PCI DSS-compliant systems, encryption standards such as TDES and DUKPT, and integrations with POS systems, terminals (e.g., PAX, AMP), and Magtek card readers
  • AI & machine learning: applied ML and LLM-based workflows in Python (TensorFlow, PyTorch, scikit-learn), including vector databases and embeddings
  • Collaboration & tooling: Agile/Scrum delivery with JIRA and Confluence, and application monitoring with tools such as Crashlytics and New Relic

Requirements
QualificationsRequired
  • 2-4 years of professional software development experience
  • Proficiency in one or more of Payarc's core languages and frameworks (e.g., PHP/Laravel, JavaScript with React or Angular, Java, C#, Python, or Kotlin)
  • Experience building and consuming RESTful APIs and web services
  • Experience with relational databases such as MySQL or Oracle
  • Proficiency with Git/GitHub, including pull requests and code reviews
  • Strong problem-solving and analytical skills

Preferred
  • Experience with cloud platforms (AWS, Azure, GCP), with AWS preferred
  • Familiarity with CI/CD pipelines
  • Experience with containerization (Docker, Kubernetes)
  • Knowledge of NoSQL databases
  • Mobile development experience (Android with Kotlin, Retrofit/OkHttp, Firebase) or applied AI/ML exposure
  • Familiarity with PCI DSS and secure handling of cardholder data
  • Exposure to encryption standards such as TDES and DUKPT
  • Experience working in Agile environments with JIRA and Confluence

Knowledge, Skills, and Abilities
  • Strong understanding of software design principles
  • Ability to write efficient, scalable, and maintainable code
  • Ability to work independently on features of moderate complexity
  • Strong collaboration, communication, and interpersonal skills
  • Ability to manage multiple tasks and deadlines
  • Sound judgment and resourcefulness in solving problems
  • Commitment to code quality, testing, and security
  • Continuous learning mindset

Education
  • Bachelor's degree in Computer Science, Software Engineering, or a related field required (or equivalent practical experience).

Work EnvironmentThis position operates in a professional office or remote environment, based out of Payarc's Greenwich, CT office with flexibility as needed. Standard business hours apply, with flexibility to meet development timelines and support releases.Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer
  • Extended periods typing and analyzing information
  • Ability to participate in virtual or in-person meetings

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer with or without prior notice.

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