1

Tensorflow Jobs in Ohio (NOW HIRING)

Understanding of Data Science models Exposure to Deep Learning frameworks such as TensorFlow or PyTorch Solid understanding of feature engineering, model evaluation, and experimentation. PREFERRED ...

Lead ML Engineer

Cincinnati, OH

$98K - $129K/yr

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch * Solid understanding of feature engineering, model evaluation, and experimentation. PREFERRED TRAITS * Strong communication and ...

LEAD ML ENGINEER

Blue Ash, OH

$94K - $124K/yr

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch * Solid understanding of feature engineering, model evaluation, and experimentation. PREFERRED TRAITS * Strong communication and ...

Lead ML Engineer

Cincinnati, OH

$98K - $129K/yr

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch * Solid understanding of feature engineering, model evaluation, and experimentation. Preferred Traits * Strong communication and ...

... TensorFlow, PyTorch). • Excellent communication skills to collaborate effectively with cross-functional teams. • A passion for staying up-to-date with the latest advancements in NLP and AI ...

Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX. * Technical Skills : * Strong programming skills in Python; familiarity with Rust or other languages is a plus. * Proficiency in ...

... e.g., Python, TensorFlow, PyTorch) • Excellent communication skills to collaborate effectively with cross-functional teams • Demonstrated ability to lead projects independently and mentor ...

Required : • 2+ years of proven experience building deep learning models for large-scale recommender systems. • Proficiency in ML frameworks such as TensorFlow or PyTorch. • Proficiency in SQL ...

PyTorch and/or TensorFlow * Hugging Face, Ollama, or similar frameworks * Experience with data engineering concepts, including: * Feature engineering and dataset preparation * Data versioning tools ...

PyTorch and/or TensorFlow * Hugging Face, Ollama, or similar frameworks * Experience with data engineering concepts, including: * Feature engineering and dataset preparation * Data versioning tools ...

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch * Solid understanding of feature engineering, model evaluation, and experimentation. PREFERRED TRAITS * Strong communication and ...

PyTorch and/or TensorFlow * Hugging Face, Ollama, or similar frameworks * Experience with data engineering concepts, including: * Feature engineering and dataset preparation * Data versioning tools ...

next page

Showing results 1-20

Tensorflow information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do tensorflow jobs pay per year?

As of Jun 16, 2026, the average yearly pay for tensorflow in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing, training, and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

Which 3 jobs will survive AI?

TensorFlow professionals, data scientists, and AI engineers are likely to continue thriving as AI advances, since their roles involve developing, training, and maintaining machine learning models. These jobs require specialized skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and certification in AI tools can help ensure job security in this evolving field.

What job makes $10,000 a month without a degree?

In the field of TensorFlow and machine learning, roles such as freelance AI developer, data scientist, or machine learning engineer can earn $10,000 or more per month with strong skills and experience, often without a formal degree. These positions typically require proficiency in programming, deep learning frameworks, and project portfolios, and may involve remote work or contract-based projects.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in TensorFlow, deep learning, and data science. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, with compensation reflecting expertise and impact on business outcomes.

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

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Ohio? The most popular types of Tensorflow jobs in Ohio are:
What are popular job titles related to Tensorflow jobs in Ohio? For Tensorflow jobs in Ohio, the most frequently searched job titles are:
AI/ML Engineer

$65 - $70/hr

Other

Posted 9 days ago


Job description

Machine Learning Engineer

Blue Ash, OH Contract Rate--$65/hr-$70/hr on C2C

ML Engineering Delivery

Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.

Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.

Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.

Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.

MLOps

Implement CICD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps GitHub Actions integrated with Databricks

Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management

Establish best practices for model monitoring data drift, concept drift, model degradation, and alerting.

Define and enforce guardrails for responsible AI bias checks, explainability, privacy controls, and auditability.

Data Platform Collaboration

Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.

Work with CloudPlatform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging)

Influence target architecture and technology decisions for the ML platform roadmap.

Leadership Mentoring

Provide technical leadership and mentorship to ML Engineers and junior team members.

Conduct design reviews, code reviews, and establish engineering standards.

Coordinate delivery plans, estimate work, and manage technical risks and dependencies.

REQUIRED SKILLS:

Languages Python (required) SQL optional JavaScala ML MLflow (or equivalent), model registry, monitoring, evaluation pipelines Data Spark, DataFrames, data modeling fundamentals, feature engineering DevOps Git, CICD, Docker Kubernetes, Terraform (optional) Cloud Azure, logging/monitoring Experience with MLOps practices, including model versioning, monitoring, and CICD for ML pipelines.

Desirable Skills:

Knowledge of Retail domain

GOOD TO HAVE:

Understanding of Data Science models

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch Solid understanding of feature engineering, model evaluation, and experimentation.

PREFERRED TRAITS:

Strong communication and storytelling skills with data Ability to work in a collaborative and fast-paced environment Passion for solving complex business problems using data


Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media