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Tensorflow Pytorch Jobs in Huntsville, AL (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

DESE Research, Inc.

AI Security Engineer

Huntsville, AL · On-site

Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and AI orchestration frameworks (e.g., LangChain, LlamaIndex).Experience with the DoW AI Assurance Toolkit or other AI policy and guidance ...

New

DESE Research

AI Security Engineer

Huntsville, AL · On-site

Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and AI orchestration frameworks (e.g., LangChain, LlamaIndex). * Experience with the DoW AI Assurance Toolkit or other AI policy and ...

New

DESE Research

AI / ML Engineer

Huntsville, AL · On-site

Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Proficiency in Python and at least one additional language (Java, C++). * Strong understanding of data ...

DESE Research, Inc.

AI / ML Engineer

Huntsville, AL · On-site

Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Proficiency in Python and at least one additional language (Java, C++). * Strong understanding of data ...

Mesa Associates, Inc.

AI Program Lead

Madison, AL

Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow. * LLM Operations (LLMOps): Ability to operationalize large language models efficiently, including monitoring ...

Mesa Associates Inc.

AI Program Lead

Madison, AL · On-site

Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow. * LLM Operations (LLMOps): Ability to operationalize large language models efficiently, including monitoring ...

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Tensorflow Pytorch information

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How much do tensorflow pytorch jobs pay per year?

As of Aug 10, 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?

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:
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Tensorflow Pytorch jobs near you

AI Governance Specialist

Interactive Process Technology LLC

Huntsville, AL • On-site

Full-time

Re-posted yesterday

Job description

AI Governance Specialist
Redstone Arsenal/Huntsville, AL
At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that actually make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.
Our Team
At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.
Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.
We're looking for people who:
  • Are curious and excited about technology
  • Like solving problems and figuring things out
  • Can take initiative but also enjoy working with a team
  • Want to keep learning, growing, and challenging themselves

If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here.
We are seeking an AI Governance Specialist to support the development and implementation of AI governance frameworks for DoD enterprise systems. This role requires expertise in AI policy development, application governance, and security oversight, with a focus on ensuring responsible AI deployment in mission-critical environments. The ideal candidate will combine policy acumen with technical understanding to bridge governance requirements with practical implementation.
Responsibilities:
  • Support development and implementation of AI governance policies and procedures
  • Establish and maintain AI application governance requirements and standards
  • Collaborate with engineering and cybersecurity teams to implement AI guardrails and controls
  • Develop middleware solutions to enforce AI governance policies and safety controls
  • Conduct AI application assessments and compliance reviews
  • Monitor AI systems for adherence to governance frameworks and security standards
  • Document AI use cases, risk assessments, and governance decisions
  • Support AI vendor evaluation and third-party AI tool governance
  • Maintain awareness of evolving AI regulations, standards, and best practices
  • Contribute to AI risk management and incident response procedures
  • Develop training materials and guidance on AI governance requirements
  • Participate in cross-functional teams to integrate governance into AI development lifecycle

Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Public Policy, or related field
  • 10 years of experience in AI/ML governance, technology policy, or related field
  • Strong understanding of AI technologies, capabilities, and limitations
  • Experience with policy development and implementation
  • Software development or scripting experience (Python, JavaScript, or similar)
  • Knowledge of AI security principles and threat landscape
  • Ability to translate technical concepts for non-technical stakeholders
  • Active Security Clearance Required
  • DoD 8570 Level II/III certification Required

Desired Qualifications
  • Experience with NIST AI Risk Management Framework (AI RMF)
  • Familiarity with DoD AI governance requirements and policies
  • Experience conducting technical audits or assessments
  • Understanding of AI model architectures and development processes
  • Experience with AI/ML frameworks and tools (TensorFlow, PyTorch, LangChain, etc.)
  • Knowledge of responsible AI principles and ethics frameworks
  • Experience with cloud AI services (AWS, Azure, GCP)
  • Background in cybersecurity or risk management
  • Experience developing governance automation tools or middleware
  • Familiarity with data governance and privacy regulations

Technical Skills
  • AI governance frameworks (NIST AI RMF, responsible AI principles)
  • Software development (Python, scripting, API integration)
  • AI security and safety controls
  • Policy development and compliance management
  • AI application assessment and risk evaluation
  • Documentation and technical writing
  • Collaboration tools and project management

IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.
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