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Tensorflow Pytorch Jobs in Millington, TN (NOW HIRING)

Cisco

Applied AI Scientist

Memphis, TN · On-site

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Millington, TN

Tensorflow Pytorch information

See Millington, TN salary details

$34.8K

$113.9K

$182.3K

How much do tensorflow pytorch jobs pay per year?

As of Aug 28, 2026, the average yearly pay for tensorflow pytorch in Millington, TN is $113,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $126,200.00 per year, depending on experience, location, and employer.

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 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.

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 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 cities near Millington, TN are hiring for Tensorflow Pytorch jobs?

Cities near Millington, TN with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Millington, TN as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $113,894 per year, or $54.8 per hour.

AI Implementation Architect

Germantown, TN • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$74K - $99K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
RIT Solutions, Inc. is a company seeking an AI Implementation Architect to design and implement AI solutions. The role involves building AI infrastructure systems, integrating solutions with existing business systems, and collaborating with stakeholders to deploy AI models.
Responsibilities:
• Design and build data and AI infrastructure systems including model selection and versioning, indexing, feedback capture, monitoring, and performance.
• Implement AI solutions that integrate seamlessly with existing business systems and enhance functionality. Work with systems and application owners to design complementary AI solutions.
• Work with data scientists, enterprise architects, and stakeholders to develop and deploy AI models based on use cases and value.
• Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, un-biased output.
• Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.
Qualifications:
Required:
• Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer facing implementation of data orchestration and AI technologies.
• Strong ability to translate use case and business domain functions to production applications.
• Proficiency in programming languages (Python, Java) and related AI/ML frameworks (ex. LangChain, TensorFlow, PyTorch).
• Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG)).
• Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred).
• Knowledge of vector databases, search indexes, and embeddings.
• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Preferred:
• Experience with fine-tuning (PEFT) is a plus.
• Experience with API architecture and design is a plus.
• Certifications: Relevant certifications in AI, data engineering, or cloud computing are a plus.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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