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Tensorflow Pytorch Jobs (NOW HIRING)

VTG

Data Scientist

Chantilly, VA · On-site

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

1 point system

Senior Data Scientist

New York, NY · Remote

Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM, etc). * Experience in developing and deploying solutions ...

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn. * An in-depth understanding of contemporary software engineering techniques. * Docker, Kubernetes, and/or ...

Purple Drive

AI/ML ENGINEER

Chicago, IL

Good knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

Saransh Inc

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. * Strong understanding of machine learning algorithms, deep learning, and natural language ...

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How much do tensorflow pytorch jobs pay per year?

As of Jun 20, 2026, the average yearly pay for tensorflow pytorch in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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.
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Tensorflow Pytorch jobs near you
AI Lead Developer/Architect - Remote - Travel is required

AI Lead Developer/Architect - Remote - Travel is required

Lorven Technologies

Remote

Full-time

Posted 7 days ago

Job description

Job Title: AI Lead Developer/Architect
Location: Remote - Travel is required
Role Overview
We are seeking a highly skilled AI Lead Developer to design, develop, and lead innovative AI-driven solutions. The ideal candidate will have strong expertise in Python, Java, Spring Boot, and React, along with hands-on experience delivering at least one end-to-end AI/ML project in production. You will play a key role in architecting intelligent applications, mentoring teams, and driving best practices in AI engineering.
Key Responsibilities
AI & Machine Learning
  • Design and implement scalable AI/ML solutions (NLP, Computer Vision, or Predictive Analytics).
  • Lead at least one end-to-end AI project lifecycle (data ingestion, model training, deployment, and monitoring).
  • Integrate AI models into enterprise applications using REST APIs and microservices.
  • Evaluate and adopt modern AI frameworks (TensorFlow, PyTorch, OpenAI APIs, etc.).

Backend Development
  • Develop and maintain microservices using Java and Spring Boot.
  • Build secure, scalable APIs for AI model consumption.
  • Optimize application performance and ensure high availability.

Frontend Development
  • Build intuitive and responsive UI using React.js.
  • Integrate frontend applications with backend AI services.
  • Ensure seamless user experience for AI-powered features.

Required Skills & Qualifications
Technical Skills
  • Strong programming expertise in Python and Java.
  • Solid experience with Spring Boot and microservices architecture.
  • Frontend development experience with React.js.
  • Hands-on experience with AI/ML frameworks such as:
    • TensorFlow / PyTorch / Scikit-learn
    • NLP libraries (spaCy, Hugging Face, etc.)
  • Experience in RESTful API development and cloud integration (AWS/Azure/GCP).
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines.

AI Experience (Mandatory)
  • Proven experience in delivering at least one AI-based project in production, such as:
    • Chatbot / Conversational AI
    • Recommendation system
    • Fraud detection model
    • Image or speech recognition system

Preferred Qualifications
  • Experience with LLMs (Large Language Models) and Generative AI.
  • Knowledge of vector databases (Pinecone, FAISS, etc.).
  • Understanding of MLOps practices and tools.
  • Experience in Agile/Scrum methodologies.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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