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Tensorflow Pytorch Jobs in Alabama (NOW HIRING)

Camgian

Senior AI Engineer

Huntsville, AL · On-site

$103K - $142K/yr

... 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 ...

Forhyre

Prompt Engineers

Montevallo, AL

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 ...

Cintel, Inc.

Data Analyst

Huntsville, AL · On-site

Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn). * Familiarity with data visualization tools (Tableau, Power BI). * Familiarity and proficient experience ...

Camgian Corporation

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 ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

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 ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

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 ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

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

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 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:
Tensorflow Pytorch jobs near you

Senior AI Engineer

Camgian

Huntsville, AL • On-site

$103K - $142K/yr

Full-time

Posted 21 days ago

Job description

Job Summary:
Camgian is looking to expand its development organization with the addition of a Senior AI Engineer. The role involves applying state-of-the-art Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning technologies to advance decision support products in both government and commercial markets.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Since 2006, Camgian has created the future for defense and industry through AI, software, and data science. Founded in 2006, the company is headquartered in Starkville, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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