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Tensorflow Jobs in Georgia (NOW HIRING)

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus * Strong problem ...

Senior/Principal AI Engineer

Atlanta, GA

$120K - $166K/yr

... TensorFlow * 6+ years of professional experience in building services to host machine learning models in production at scale * 3+ years of demonstrated experience working with large language models ...

Experience with deep learning frameworks such as TensorFlow or PyTorch. * Knowledge of data visualization tools like Tableau, Power BI, or similar. * Experience in specific industries relevant to the ...

New

Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras. * Experience designing and implementing large-scale data pipelines and processing ...

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • ...

TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • ...

Proven experience in AI/ML pipelines - data preprocessing, model training, fine-tuning, and deployment (TensorFlow, PyTorch, Scikit-learn). * Must have hands-on with GenAI frameworks (LangChain ...

Senior Python Developer

Atlanta, GA · On-site

$116K - $157K/yr

... TensorFlow, PyTorch, Scikit learn, or XGBoost • MLOps experience including model versioning, feature stores, registries, and monitoring • Experience deploying models to AWS, GCP, or Azure • ...

... TensorFlow, PyTorch, or JAX. • Familiarity with big data tools such as Spark, or similar technologies. • Experience designing and implementing large-scale data pipelines and processing systems ...

Showing results 41-60

Tensorflow information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do tensorflow jobs pay per year?

As of Aug 8, 2026, the average yearly pay for tensorflow in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Georgia? The most popular types of Tensorflow jobs in Georgia are:
Infographic showing various Tensorflow job openings in Georgia as of August 2026, with employment types broken down into 33% Internship, 44% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Agentic AI Engineer

Optimal Inc.

Embry Hills, GA • On-site

Contractor

Re-posted 7 days ago


Job description

Job Title: Agentic AI Engineer

We are seeking a highly skilled Agentic AI Engineer to support advanced R&D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.

The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.

Key Responsibilities

  • Design and develop agentic AI systems using GPT-style and other large language model architectures
  • Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory
  • Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving
  • Build scalable context management frameworks to support dynamic, multi-turn conversations
  • Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation
  • Collaborate with cross-functional R&D teams to integrate agent-based solutions into innovative products and research initiatives
  • Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities
  • Document system designs, experiments, and technical findings

Required Qualifications

  • 3-5 years of industry experience in AI/ML, LLM development, or agent-based systems
  • Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)
  • Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures
  • Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques
  • Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus
  • Strong problem-solving skills and ability to work in research-oriented, collaborative environments

Required Education

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Experience contributing to research publications, open-source projects, or experimental AI platforms