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Tensorflow Pytorch Jobs in Birmingham, AL (NOW HIRING)

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Scikit-learn * TensorFlow or PyTorch * Data Visualization (Power BI/Tableau) * Apache Spark * Git * Cloud Platforms (AWS, Azure, or GCP) Secondary Skills * NLP (Natural Language Processing)

Strong Python skills (PyTorch / JAX / TensorFlow); comfortable with HPC and GPU workflows, modern MLOps, and reproducible computational pipelines. * Agentic and Autonomous AI: Experience designing ...

... TensorFlow/Keras, PyTorch, or equivalent) Preferred Expertise · Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data ...

... TensorFlow/Keras, PyTorch, or equivalent) Preferred Expertise • Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data ...

... TensorFlow/Keras, PyTorch, or equivalent) Preferred Expertise · Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data ...

... TensorFlow/Keras, PyTorch, or equivalent) Preferred Expertise • Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data ...

Tensorflow Pytorch information

See Birmingham, AL salary details

$35.1K

$115K

$184.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 11, 2026, the average yearly pay for tensorflow pytorch in Birmingham, AL is $115,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $127,500.00 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 job categories do people searching Tensorflow Pytorch jobs in Birmingham, AL look for? The top searched job categories for Tensorflow Pytorch jobs in Birmingham, AL are:
What cities near Birmingham, AL are hiring for Tensorflow Pytorch jobs? Cities near Birmingham, AL with the most Tensorflow Pytorch job openings:
Infographic showing various Tensorflow Pytorch job openings in Birmingham, AL as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $115,029 per year, or $55.3 per hour.

Prompt Engineers

Forhyre

Montevallo, AL

Full-time

Re-posted 22 days ago


Job description

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI.

Role Overview:

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems.

Responsibilities:

  • Collaborate with AI researchers and developers to understand project requirements and objectives.
  • Design and create a diverse range of prompts tailored to specific AI tasks and applications.
  • Develop creative and innovative ways to generate effective prompts that improve model performance.
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes.
  • Optimize and fine-tune prompts based on continuous testing and feedback from AI models.
  • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy.
  • Stay up-to-date with the latest advancements in natural language processing and AI technologies.
  • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
  • Proven experience in working with natural language processing and AI technologies.
  • Strong understanding of AI models, algorithms, and neural networks.
  • Experience in prompt engineering, creative writing, or content creation is a plus.
  • Proficiency in programming languages such as Python or JavaScript.
  • Solid knowledge of data collection, preprocessing, and annotation for prompt development.
  • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Passion for innovation and a keen interest in staying updated with the latest AI trends.

Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.