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Remote Tensorflow Developer Jobs in Cincinnati, OH

Remote Tensorflow Developer information

See Cincinnati, OH salary details

$16

$50

$78

How much do remote tensorflow developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote tensorflow developer in Cincinnati, OH is $50.70, according to ZipRecruiter salary data. Most workers in this role earn between $38.75 and $62.02 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 popular job titles related to Remote Tensorflow Developer jobs in Cincinnati, OH? For Remote Tensorflow Developer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Tensorflow Developer jobs in Cincinnati, OH look for? The top searched job categories for Remote Tensorflow Developer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Tensorflow Developer jobs? Cities near Cincinnati, OH with the most Remote Tensorflow Developer job openings:
Principal ML/CV Enginer- US

Principal ML/CV Enginer- US

STACK Construction Technologies

Cincinnati, OH • Remote

$190K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 hours ago

New


Job description

About Us:

STACK is a leading provider of cloud-based construction estimating and takeoff software solutions, committed to helping businesses transform through innovative solutions. We pride ourselves on fostering a collaborative, dynamic environment where team members have the opportunity to grow and make a real impact.

About the Role:

The Principal ML / Computer Vision Engineer is a senior technical leader responsible for designing, developing, and deploying advanced machine learning and computer vision solutions that power core product capabilities. This role drives innovation across model development, data pipelines, and production systems, ensuring scalable, high-performance solutions aligned with business objectives.
The role partners closely with Product, Engineering, and Data teams to translate complex business problems into robust ML/CV systems, while setting technical direction, mentoring engineers, and establishing best practices across the ML lifecycle.

Your Most Important Initiatives:

  • Lead the design and development of machine learning and computer vision models for production use
  • Define and drive ML/CV technical strategy and architecture
  • Build and optimize data pipelines for training, evaluation, and deployment
  • Collaborate cross-functionally to translate business needs into ML solutions
  • Deploy and monitor models in production, ensuring performance and scalability
  • Establish best practices for experimentation, versioning, and reproducibility
  • Improve model accuracy, latency, and robustness through continuous iteration
  • Lead code reviews, mentor engineers, and elevate team technical standards
  • Evaluate new tools, frameworks, and approaches in ML and computer vision
  • Ensure data quality, labeling strategies, and model validation processes
  • Contribute to roadmap planning and technical decision-making
  • Drive innovation in deep learning, image recognition, and video analysis

What You Bring:

  • 8+ years of experience in machine learning, computer vision, or related fields
  • Strong expertise in deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience building and deploying production ML systems
  • Proficiency in Python and ML tooling ecosystem
  • Strong background in computer vision techniques (e.g., object detection, segmentation, OCR)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Knowledge of data engineering and large-scale data processing
  • Proven ability to lead technical projects and mentor engineers
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Advanced degree (MS or PhD) in Computer Science, AI, or related field preferred

Why Join STACK?

  • Opportunity to work in a fast-paced, growth-oriented, remote-first environment.
  • Gain exposure to multiple aspects of the company including Marketing, Sales, Customer Support, and Training.
  • Be part of a dynamic, supportive team where your contributions are valued.

At STACK, our values shape how we work, collaborate, and serve our customers:

  • Radical Honesty: Communicate directly, respectfully, and transparently—even when conversations are difficult. Give and receive feedback with care.
  • Customer Obsession: Put the customer at the center of every decision. Solve real problems, follow through, and measure success by customer outcomes.
  • Move With Purpose: Take thoughtful action, remain accountable, and own both successes and mistakes. Anticipate what’s next and adapt as you learn.
  • Grow Together: Share knowledge, collaborate across teams, and invest in one another’s development. Celebrate collective wins and treat setbacks as opportunities to learn.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.
We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance (medical, dental & vision), life insurance, 401(k) & paid time off. The expected compensation range for this position is about $190k- $210k USD. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. #LI-Remote