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Remote Tensorflow Developer Jobs in New York (NOW HIRING)

Codertal

Deep Learning Engineer

Union, NJ · On-site +1

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role ... Strong programming skills in Python and experience with TensorFlow , PyTorch , or Keras

Codertal

Computer Vision Engineer

Union, NJ · Remote

$113.60K - $134K/yr

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role ... Key Responsibilities Develop computer vision models using OpenCV , PyTorch , TensorFlow , and ...

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How much do remote tensorflow developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote tensorflow developer in New York is $57.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $70.72 per hour, depending on experience, location, and employer.

What is a Remote Tensorflow Developer job?

A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.

What are the key skills and qualifications needed to thrive in the Remote Tensorflow Developer position, and why are they important?

To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.

What are some typical challenges faced by Remote Tensorflow Developers, and how are these addressed?

Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.
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Remote Tensorflow Developer jobs near you

Remote ML Engineer: Production Models with TensorFlow

Crossing Hurdles

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Crossing Hurdles in the United Kingdom is looking for a Machine Learning Engineer. You will develop and deploy machine learning models using TensorFlow and Scikit-Learn, focus on data preprocessing for high-quality inputs, and work closely with data scientists and analysts. The ideal candidate will have expert-level skills in model development, experience designing production-ready systems, and a strong ability to work independently in a fast-paced environment.

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