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Tensorflow Pytorch Jobs in Alabama (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 AI Engineer

Huntsville, AL · On-site

$103K - $141.40K/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

$99.60K - $136.80K/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 solving ...

Senior AI Engineer

Huntsville, AL · On-site +1

$103K - $141.40K/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 - $141.40K/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 ...

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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.

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:
Software Engineer (Multiple Levels)

Software Engineer (Multiple Levels)

Altamira Technologies Corp.

Huntsville, AL

Full-time

Posted 17 days ago


Job description

Software Engineer
Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies.
We focus on recruiting talented, self-motivated employees who strive to get things done. Join our team of experts as we engineer national security! 
Position Description: We are seeking multiple Software Engineers with a mix of experience talent in areas related to cloud-native full-stack development. As part of our team, you will provide software and web development services in support of our customer in Dayton, OH. We are seeking a diverse group of candidates that meet many of the desired skillsets below. Our ideal candidate would possess a broad range of skills as our scope of work spans various technologies, including JavaScript, Python, React, Angular, and others.  Altamira Technologies Corporation encourages independent problem-solving and provides deep reach-back support and a collaborative environment for our engineering team. We are looking for candidates who have experience with developing and are not afraid to adapt to the right architecture, languages, and libraries to build the best systems for the mission and deliver the best user experience.
Location: Dayton OH 
Role and Responsibilities 
  • Produce software based on desired functionality provided by users and analysts 
  • Interpret mission needs and requirements to produce user-friendly software systems 
  • Leverage continuous integration to create sustainable and maintainable software 
  • Interact with teammates and users through whiteboard sessions and/or design documents to establish circular feedback 
Education and Experience 
  • Bachelor’s in Computer Science, Computer Engineering, or a related field is required
  • Experience in multiple of the following: Java, Python, Go, Rust, JavaScript, TypeScript, Angular, VueJs, NodeJS, OpenAPI, ArangoDB, Valkey, PostgreSQL, MinIO, Istio ServiceMesh, Redis, Knative, Kubernetes, Helm, Terraform, OpenContainer Initiative, OTEL, and/or Kafka is desired.
  • Additionally, experience with Artificial Intelligence/Machine Learning technologies, such as Tensorflow, PyTorch, LangChain, vLLM, PyTorch Lightning, SK Learn, LibreChat, Streamlit, KubeFlow, MLFlow, Bedrock, Fast API, Tune, Ray Train, Safe Tensors, and/or ONNX is highly desired
  • Kubernetes Certified Application Developer (CKAD) and Certified Kubernetes Administrator (CKA) certifications are highly desired
  • Entry level through Senior level positions available
Abilities and Competencies 
  • Ability to obtain a TS/SCI clearance 
  • Self-motivated and eager to work intently to satisfy mission requirements 
  • Adaptable and has the desire to maintain our company culture 
  • Ability to effectively communicate in verbal and written communications 
  • Ability to multitask and adjust priorities as needed