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Tensorflow Pytorch Jobs in Huntsville, AL (NOW HIRING)

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly desired * Experience with tools such as NumPy, SciPy, Pandas, Matplotlib, MATLAB * Strong analytical ...

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly desired * Experience with tools such as NumPy, SciPy, Pandas, Matplotlib, MATLAB * Strong analytical ...

Working knowledge of AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, large language models, or related technologies) sufficient to support AI-enabled projects as needed.

Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Familiarity with SQL and NoSQL databases, and data processing frameworks like Apache Spark or ...

Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Familiarity with SQL and NoSQLdatabases, and data processing frameworks like Apache Sparkor ...

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Tensorflow Pytorch information

See Huntsville, AL salary details

$37K

$120.9K

$193.6K

How much do tensorflow pytorch jobs pay per year?

As of Jul 28, 2026, the average yearly pay for tensorflow pytorch in Huntsville, AL is $120,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $134,000.00 per year, depending on experience, location, and employer.

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 Huntsville, AL? For Tensorflow Pytorch jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Huntsville, AL look for? The top searched job categories for Tensorflow Pytorch jobs in Huntsville, AL are:
What cities near Huntsville, AL are hiring for Tensorflow Pytorch jobs? Cities near Huntsville, AL with the most Tensorflow Pytorch job openings:
Senior AI Engineer

Senior AI Engineer

Camgian Corporation

Huntsville, AL • On-site

$103K - $141K/yr

Full-time

Posted 21 days ago


Job description

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer. We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning technologies to advance decision support products in the government and commercial markets. This is a hands-on technical position that involves the development, training, and validation of AI, ML, CV & DL based algorithms and models. Teamwork, flexibility, and willingness to continuously learn new concepts & technologies are critical requirements for this position. Candidate must demonstrate strong technical, leadership, and communication skills and must be able to effectively lead a small to medium sized team.
Qualifications
  • Bachelor’s Degree (Computer Science, Computer Engineering, Statistics, or Mathematics)
  • Proficiency in Python with a strong programming background
  • Strong Knowledge in AI, ML, and DL theory and concepts
  • Experience developing, training, and validating AI models to solve real world problems
  • 5+ years progressive professional experience
  • United States Citizenship

Desired Skills
  • Master’s or PhD in a computer science related discipline
  • Experience with developing and deploying ML models into products and services
  • Experience with AI frameworks such as TensorFlow, PyTorch, scikit-learn and/or OpenCV strongly desired
  • Experience with tools such as NumPy, SciPy, Pandas, Matplotlib, MATLAB
  • Strong analytical skills and creative problem solving ability
  • Understanding of Agile development methodology
  • Excellent written and verbal communication skills

Responsibilities
  • Architect, design, develop, and test critical product features and sub-systems ensuring high quality
  • Lead a team of engineers in algorithm/model design and development
  • Provide mentorship and guidance to junior engineers
  • Track project/product milestones and releases ensuring schedule and budget are met
  • Prepare for and hold technical reviews to present your work to the company
  • Practice agile development focused on methodologies such as continuous integration
  • Lead continuous process and productivity improvements in the team
  • Engage in professional development activities to enhance your skillset

Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment are necessary for success. Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. We are a team-centric organization, there are no individuals, we win and lose together.
Camgian offers a competitive salary, fun work environment, fringe benefits, and an equity opportunity.
Camgian Culture and Core Value Traits
  • Ability to work as part of a team while maintaining independent thinking
  • Self-driven and self-starter in addition to excellent communication skills
  • Thinking outside the box and an aptitude for innovation and problem solving
  • Always willing to explore the other side of fear, be challenged and to crave cutting edge technologies

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