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Tensorflow Pytorch Jobs in Alabama (NOW HIRING)

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

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

SOSi

Data Engineer- SME

Huntsville, AL · On-site

$112K - $135K/yr

Open source, commercial, and government software packages such as PyTorch, TensorFlow, GitLab, Atlassian Suite, Linux, and Microsoft Suite * SQL and NOSQL databases such as PostgreSQL, Wevaiate ...

SOSi

Data Engineer- SME

Huntsville, AL

$112K - $135K/yr

Open source, commercial, and government software packages such as PyTorch, TensorFlow, GitLab, Atlassian Suite, Linux, and Microsoft Suite * SQL and NOSQL databases such as PostgreSQL, Wevaiate ...

Mesa Accosiates

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 ...

SOSi

Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. * Cloud native techniques and ...

SOSi

Data Engineer

Redstone Arsenal, AL

$116K - $140K/yr

Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. * Cloud native techniques and ...

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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
AI and Machine Learning Engineer

AI and Machine Learning Engineer

SynergisticIT

Huntsville, AL

$109K - $131K/yr

Other

Posted 24 days ago

Job description

Machine Learning And Artificial Intelligence Developer

You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance. You will also play a leading role, as part of a multidisciplinary team, to design and deliver enterprise AI and Client solutions to clients using our proprietary AI Machine. We develop real-time prediction (regression and classification) and clustering systems. Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 minute and millisecond streaming data.

Primary Responsibilities
  • Develop, debug and maintain Client and AI software applications written in Python ecosystem, SciKit-Learn, TensorFlow, Keras, and PyTorch.
  • Design Client and Deep AI Models for different types of data (time-series, sales, business data, images, etc.) and different output types (Classification, Regression, Clustering).
  • Create stream learning models for forecasting, prediction, classification, anomaly detection, etc.
  • Investigate the behavior of input and output data numerically.
  • Investigate and optimize model performance.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Work within a multidisciplinary team to understand clients' business, data, and requirements and develop the appropriate AI or Client solution within our proprietary AI Machine.
Skills Required
  • High fluency in English is a must since you will communicate and work with team members and clients in English.
  • Deep understanding of Client algorithms like regression, classification, and clustering.
  • Deep understanding of model determination and evaluation.
  • Strong problem-solving mindset and ability to develop creative solutions for difficult problems often requiring detailed investigation of the code and data.
  • Interest in learning and coding within an advanced distributed micro-system architecture.
Education Requirement

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits of working with our clients
  • E-Verified.
  • Help to get an H1b Employer.
  • Long Term Positions
  • On Job Technical Support.

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