1

Tensorflow Pytorch Jobs in Alabama (NOW HIRING)

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 ...

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 ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

AI/ML Engineer

Huntsville, AL · On-site +1

$140K - $220K/yr

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 ...

AI/ML Engineer

Huntsville, AL · Remote

$140K - $220K/yr

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 ...

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.

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 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.

What are popular job titles related to Tensorflow Pytorch jobs in Alabama? For Tensorflow Pytorch jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Alabama look for? The top searched job categories for Tensorflow Pytorch jobs in Alabama are:
What cities in Alabama are hiring for Tensorflow Pytorch jobs? Cities in Alabama with the most Tensorflow Pytorch job openings:

Senior AI Engineer (Camgian Labs)

Camgian Corporation

Huntsville, AL • On-site

$103K - $141.40K/yr

Full-time

Posted 5 days ago


Job description

As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push the boundaries of innovation in space and missile defense. You'll collaborate with multidisciplinary teams to pioneer novel solutions, engage directly with customers and stakeholders to translate visionary concepts to impactful technologies. This role offers the opportunity to solve complex technical challenges, mentor junior engineers, and contribute to thought leadership and proposal development activities.
Qualifications
  • Bachelor's degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
  • 5+ years of professional experience in AI/ML model validation and deployment.
  • Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages.
  • Strong mathematical background and knowledge of AI, ML, and deep learning concepts.
  • Excellent written and verbal communication skills.
  • Experience interfacing with customers and stakeholders in technical environments.
  • Proficiency with revision control systems (such as Git), including branching, merging, and managing code repositories in a team setting.
  • Ability to work both independently and collaboratively in a team environment.
  • Experience collaborating effectively as a member of remote or hybrid project teams.
  • Ability to travel up to 10% of the time within the United States to support customer engagements and technical exchanges.
  • Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S. citizenship.
Desired Skills
  • Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
  • Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV).
  • Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib.
  • Experience deploying AI models in cloud environments (e.g., AWS, Azure).
  • Strong analytical skills and creative problem-solving ability.
  • Understanding of Agile development methodology.
  • Experience with space domain awareness, satellite operations, or space operations.
Key Responsibilities
  • Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities.
  • Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets.
  • Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment.
  • Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration.
  • Track project milestones and budgets, ensuring timely and quality outcomes.
  • Support proposal-writing activities and thought leadership opportunities.
  • Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends.
Why Join Us?
  • Work on mission-critical projects that directly impact national security.
  • Collaborate with leading experts in AI, engineering, and data science.
  • Enjoy a dynamic, innovative, and inclusive team culture focused on continuous learning and experimentation.
  • Opportunities for professional growth and technical leadership.
About Camgian
  • Camgian's mission is to deliver advanced AI/ML solutions that accelerate decision-making in high-stakes environments. Our advanced R&D unit, Camgian Labs, is seeking a Senior AI Engineer to support the team's space and missile defense initiatives.