1

Tensorflow Pytorch Jobs in Ohio (NOW HIRING)

... e.g., TensorFlow, PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • Experience with data processing tools (e.g., Pandas, NumPy ...

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 ...

next page

Showing results 1-20

Tensorflow Pytorch information

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.
What are popular job titles related to Tensorflow Pytorch jobs in Ohio? For Tensorflow Pytorch jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Tensorflow Pytorch jobs? Cities in Ohio with the most Tensorflow Pytorch job openings:
Senior AI Engineer

$125K - $145K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Overview
The AI Engineer III at AmTrust is a senior-level role designed for experienced professionals with a strong background in AI model development, software engineering, and project management. This position requires a deep understanding of machine learning, deep learning, and software development principles. The AI Engineer III will lead the design, development, and optimization of AI models and software applications, ensuring they meet business requirements and performance standards.
Responsibilities
  • AI Model Development: Lead the design, development, and optimization of advanced AI models to improve performance and accuracy. Utilize frameworks such as TensorFlow and PyTorch.
  • Software Engineering: Develop and maintain software applications and APIs using languages such as Python and C#. Ensure code quality through refactoring and code reviews.
  • Project Management: Manage AI and software projects from inception to completion, including enhancements and bug fixes. Interface with business analysts to discuss timelines and clarify requirements.
  • Data Management: Develop and optimize complex data queries for databases and domain objects. Ensure data integrity and accuracy.
  • Collaboration: Work closely with cross-functional teams, including development, marketing, IT, and customer service, to solve AI design and development problems.
  • Documentation: Write and maintain technical documentation for AI models, software applications, and project workflows.
  • Mentorship: Provide guidance and mentorship to junior AI engineers and software developers. Conduct training sessions and share best practices.

Qualifications
  • Education: Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience: Experience in developing AI models, software applications, and APIs. Proven track record of managing and delivering complex projects.
  • Technical Skills:
    • Advanced knowledge of machine learning and deep learning algorithms.
    • Proficiency in Python (TensorFlow, PyTorch) and C#.
    • Strong understanding of SQL and NoSQL databases.
    • Familiarity with cloud platforms such as Azure or AWS.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and interpersonal skills.
    • Ability to work independently and as part of a team.
    • Strong organizational and project management skills.

Preferred:
  • Advanced Experience: Experience in AI model and software design/development at an advanced level.
  • Cloud Platforms: Intermediate to advanced experience using Azure DevOps and API Management gateways.
  • Technical Documentation: Proven experience in writing comprehensive technical documentation.
  • Leadership: Demonstrated ability to lead and mentor a team of engineers.

The expected salary range for this role is $125K-$145K/year.
Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.
#LI-HYBRID
What We Offer
AmTrust Financial Services offers a competitive compensation package and excellent career advancement opportunities. Our benefits include: Medical & Dental Plans, Life Insurance, including eligible spouses & children, Health Care Flexible Spending, Dependent Care, 401k Savings Plans, Paid Time Off.
AmTrust strives to create a diverse and inclusive culture where thoughts and ideas of all employees are appreciated and respected. This concept encompasses but is not limited to human differences with regard to race, ethnicity, gender, sexual orientation, culture, religion or disabilities.
AmTrust values excellence and recognizes that by embracing the diverse backgrounds, skills, and perspectives of its workforce, it will sustain a competitive advantage and remain an employer of choice. Diversity is a business imperative, enabling us to attract, retain and develop the best talent available. We see diversity as more than just policies and practices. It is an integral part of who we are as a company, how we operate and how we see our future.