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Deep Learning Jobs in Tennessee (NOW HIRING)

ISHR

AI/ML Architect

Nashville, TN

$70/hr

... deep learning techniques and frameworks. • Previous experience in industries such as healthcare, finance, or manufacturing is a plus.

SynergisticIT

Machine Learning Engineer

Nashville, TN · On-site

Machine Learning And Artificial Intelligence Developer Synergistic IT is a full-service staffing ... Design Client and Deep AI Models for different types of data (time-series, sales, business data ...

Deloitte

AI Solutions Architect

Nashville, TN

$60.75 - $80.25/hr

... learning, deep learning, or generative artificial intelligence solutions in production environments * Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or ...

BravoTech

AI Architect

Nashville, TN · On-site

Deep Learning (CNN, RNN, LSTM) * Transformer architectures and attention mechanisms * Deep experience with Generative AI, including: * Large Language Models (LLMs), Retrieval-Augmented Generation ...

CGI Inc.

AI/ML Engineer

Knoxville, TN · On-site

Python (expert) plus Java o ML/Deep Learning: TensorFlow, PyTorch; model training, tuning, serving, and monitoring. o Generative AI: hands on with LLMs; prompt engineering; fine tuning; RAG patterns ...

Fortive

Senior Data Scientist

Nashville, TN · On-site

Strong knowledge of machine learning algorithms, deep learning techniques, and statistical modeling. * Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud computing ...

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Deep Learning information

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$76.1K

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How much do deep learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for deep learning in Tennessee is $76,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $126,200.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are deep learning jobs?

Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are popular job titles related to Deep Learning jobs in Tennessee? For Deep Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Tennessee look for? The top searched job categories for Deep Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Deep Learning jobs? Cities in Tennessee with the most Deep Learning job openings:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Tennessee as of June 2026, with employment types broken down into 52% Full Time, 44% Part Time, 1% Temporary, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $76,136 per year, or $36.6 per hour.

AI/ML Architect

ISHR

Nashville, TN

$70/hr

Other

Posted 22 days ago

Job description

About the job AI/ML Architect
Job Title: AI/ML Architect
Location: Nashville TN Day1, Onsite
Duration: Long Term
$70 per hour
Job Description:
Position Summary:
As an AI/ML Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient AI/ML solutions for our diverse range of projects. The successful candidate will be responsible for understanding business requirements, defining architecture, and leading the development of AI/ML models that drive innovation and enhance business outcomes.
Responsibilities
• Collaborate with cross-functional teams to understand business objectives and requirements.
• Design end-to-end AI/ML architectures that align with business goals and scalability requirements.
• Evaluate and select appropriate technologies and frameworks for implementation.
• Lead the development and implementation of state-of-the-art AI/ML models.
• Utilize Python and other relevant tools to build and optimize machine learning algorithms.
• Ensure models are accurate, efficient, and scalable for deployment in production environments.
• Work closely with data engineers to ensure the availability of high-quality, clean, and relevant data.
• Develop and implement data pre-processing and feature engineering pipelines.
• Implement monitoring systems to track the performance of deployed models.
• Identify opportunities for optimization and improvement in model accuracy and efficiency.
• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
• Document architecture, design decisions, and code to ensure knowledge transfer and maintainability.
Qualifications:
• Master's or Ph.D. in Computer Science, Data Science, or related field.
• Proven experience as an AI/ML Architect with a focus on Python-based solutions.
• Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with designing and implementing end-to-end machine learning pipelines.
• Proficiency in data processing, feature engineering, and model deployment.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Demonstrated problem-solving and critical-thinking skills.
Preferred Skills
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of containerization technologies (Docker, Kubernetes).
• Familiarity with deep learning techniques and frameworks.
• Previous experience in industries such as healthcare, finance, or manufacturing is a plus.

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