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Remote Tensorflow Developer Jobs in New York (NOW HIRING)

Principal Machine Learning Engineer

New York, NY ยท On-site +1

$207K - $258K/yr

... TensorFlow, spaCy) * Experience with unit, integration, and end-to-end testing, version control ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Sr. AI Engineer

Manhattan, NY ยท Remote

$97K - $140K/yr

... Remote Patient Monitoring (RPM) initiatives. You will work at the intersection of healthcare and ... TensorFlow 6. Experience with building large-scale and/or compute-intensive applications on ...

Sr. AI Engineer

Manhattan, NY ยท Remote

$114K - $157K/yr

... Remote Patient Monitoring (RPM) initiatives. You will work at the intersection of healthcare and ... TensorFlow 6. Experience with building large-scale and/or compute-intensive applications on ...

Remote Position with occasional travel to the Corporate Office Employment Type: Full Time Company ... Strong Python and the modern ML/data stack (e.g. pandas, scikit-learn, PyTorch or TensorFlow, SQL)

Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ...

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Remote Tensorflow Developer information

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How much do remote tensorflow developer jobs pay per hour?

As of Jul 24, 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.

What are the most commonly searched types of Tensorflow Developer jobs in New York? The most popular types of Tensorflow Developer jobs in New York are:
What are popular job titles related to Remote Tensorflow Developer jobs in New York? For Remote Tensorflow Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Tensorflow Developer jobs in New York look for? The top searched job categories for Remote Tensorflow Developer jobs in New York are:
What cities in New York are hiring for Remote Tensorflow Developer jobs? Cities in New York with the most Remote Tensorflow Developer job openings:
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY โ€ข Remote

Full-time

Posted 3 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME