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Senior Computer Vision Jobs in Tennessee (NOW HIRING)

FOCUSPOINT

Senior Accountant

Franklin, TN · On-site

$28/hr

Uphold the mission, vision, and values of the company through financial stewardship Qualifications ... Proficient in personal computer applications and accounting software * Healthcare accounting ...

General Motors

Senior AI/ML Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

Experience with computer vision , machine learning , or data‑centric AI projects -- especially where labeled data, data quality, or autolabeling loops were central to the work. * Familiarity with ...

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All JobsSenior Computer Vision JobsSenior Computer Vision Jobs in Tennessee

Senior Computer Vision information

See Tennessee salary details

$22.4K

$76.9K

$155.7K

How much do senior computer vision jobs pay per year?

As of Jun 12, 2026, the average yearly pay for senior computer vision in Tennessee is $76,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $102,600.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $300,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as a Senior Computer Vision Engineer, and why are they important?

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What does a Senior Computer Vision Engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

What engineer makes $500,000 a year?

Senior Computer Vision engineers with extensive experience, advanced skills in deep learning and image processing, and work at top tech companies or in specialized industries can earn salaries around $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a proven track record, and expertise in tools like TensorFlow or PyTorch.

Which 3 jobs will survive AI?

Senior Computer Vision roles are likely to persist because they require specialized expertise in image analysis, deep learning, and domain-specific knowledge that are difficult to fully automate. Jobs involving complex problem-solving, creativity, and human interaction, such as AI specialists, data scientists, and cybersecurity analysts, are also expected to remain in demand. These roles often require continuous learning and adaptation to new tools and techniques, making them more resilient to automation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including autonomous vehicles, medical imaging, and security systems. Senior computer vision professionals are in demand for developing algorithms, working with deep learning frameworks, and deploying real-world solutions. The field continues to grow as new techniques and tools emerge, making it a viable career choice for those with relevant skills and experience.

What are some common challenges faced by Senior Computer Vision Engineers when deploying models to production environments?

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.
What are the most commonly searched types of Computer Vision jobs in Tennessee? The most popular types of Computer Vision jobs in Tennessee are:
What are popular job titles related to Senior Computer Vision jobs in Tennessee? For Senior Computer Vision jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision jobs in Tennessee look for? The top searched job categories for Senior Computer Vision jobs in Tennessee are:
What cities in Tennessee are hiring for Senior Computer Vision jobs? Cities in Tennessee with the most Senior Computer Vision job openings:
Senior Computer Vision jobs near you
Infographic showing various Senior Computer Vision job openings in Tennessee as of June 2026, with employment types broken down into 68% Full Time, 18% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $76,933 per year, or $37 per hour.
Senior Data Scientist / AI Engineer (3878)

Senior Data Scientist / AI Engineer (3878)

Navarro Inc.

Oak Ridge, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Navarro Research and Engineering is recruiting a Senior Data Scientist / AI Engineer (3878). This is a remote position. Citizenship is required.
Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.
We are seeking a Senior Data Scientist / AI Engineer to design, develop, deploy, and maintain machine learning and generative AI solutions within a government environment. This role will support both locally hosted AI systems and cloud-based AI services within Microsoft Azure Government, including Azure AI Foundry and related Azure AI services.
The ideal candidate has hands-on experience building production AI systems, deploying and operating open-source large language models (LLMs), implementing secure MLOps practices, and developing AI applications that meet government security and compliance requirements.
Key Responsibilities
AI/ML Solution Development
  • Design, build, train, evaluate, and deploy machine learning and generative AI solutions.
  • Develop and maintain predictive analytics, NLP, computer vision, and LLM-based applications.
  • Implement Retrieval-Augmented Generation (RAG), agentic workflows, and knowledge management solutions.
  • Evaluate commercial, open-source, and custom AI models for mission-specific use cases.

Local and On-Premises AI Infrastructure
  • Deploy and operate local/open-source models in secure environments.
  • Configure and optimize inference environments using GPUs and containerized deployments.
  • Manage model serving platforms and inference frameworks.
  • Implement monitoring, performance tuning, and lifecycle management for locally hosted models.
  • Support disconnected, restricted, or air-gapped operational environments.

Azure Government AI Platforms
  • Design and deploy AI solutions within Azure Government.
  • Build and manage solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Kubernetes Service (AKS), and related services.
  • Implement secure model deployment, monitoring, and governance controls.
  • Integrate AI services with enterprise systems and data platforms.

Data Engineering and Analytics
  • Develop data pipelines supporting AI and analytics workloads.
  • Perform data exploration, feature engineering, model evaluation, and performance analysis.
  • Work with structured, semi-structured, and unstructured data sources.
  • Ensure data quality, lineage, and governance standards are maintained.

MLOps and DevSecOps
  • Implement CI/CD pipelines for machine learning and AI workloads.
  • Develop automated testing, validation, and deployment processes.
  • Establish model monitoring, drift detection, and performance reporting.
  • Apply security controls and compliance requirements throughout the AI lifecycle.

Stakeholder Support
  • Collaborate with mission owners, analysts, engineers, cybersecurity personnel, and leadership.
  • Translate operational requirements into technical AI solutions.
  • Prepare technical documentation, architecture diagrams, and presentations.

Requirements
Education
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field.
  • Master's degree preferred.

Professional Experience
  • 5+ years of experience in data science, machine learning, AI engineering, or related fields.
  • 2+ years of experience deploying and operating production AI/ML systems.
  • Experience supporting secure government, defense, or regulated environments preferred.

Technical Skills
Machine Learning & Data Science
  • Strong knowledge of supervised and unsupervised learning techniques.
  • Experience with model development, evaluation, and optimization.
  • Statistical analysis and experimental design experience.
  • Proficiency in Python and common ML frameworks.

Generative AI & LLMs
  • Experience deploying and operating open-source LLMs.
  • Experience with:
    • Llama family models
    • Mistral models
    • Hugging Face models
  • Knowledge of:
    • RAG architectures
    • Agent frameworks
    • Prompt engineering
    • Model evaluation methodologies
    • Fine-tuning approaches

Azure Government and Cloud AI
  • Experience with:
    • Azure AI Foundry
    • Azure Machine Learning
    • Azure OpenAI
    • Azure Kubernetes Service (AKS)
    • Azure Storage and Data Services
    • Azure Identity and Access Management
  • Experience deploying AI workloads in Azure Government environments preferred.

Local AI Infrastructure
  • Experience with:
    • Docker
    • Kubernetes
    • GPU-based inference systems
    • vLLM, Ollama, TGI, or similar inference platforms
    • Linux administration
  • Understanding of model quantization and performance optimization techniques.

Data Platforms
  • SQL and relational databases
  • Data warehousing concepts
  • ETL/ELT pipeline development
  • Vector databases and semantic search platforms

Software Engineering
  • Git-based development workflows
  • REST APIs and microservices
  • CI/CD pipelines
  • Infrastructure-as-Code concepts

Preferred Qualifications
  • Active security clearance or ability to obtain one.
  • Experience with NIST AI Risk Management Framework.
  • Experience with FedRAMP, RMF, or government cybersecurity compliance frameworks.
  • Experience supporting classified or controlled environments.
  • Azure certifications.
  • Experience with distributed GPU environments.
  • Experience implementing AI governance and responsible AI controls.

Desired Technologies
Candidates should have experience with several of the following:
Programming
  • Python
  • SQL
  • PowerShell
  • Bash

AI/ML Frameworks
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face Transformers

LLM Ecosystem
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • OpenAI APIs
  • Azure OpenAI APIs

Infrastructure
  • Docker
  • Kubernetes
  • AKS
  • Linux
  • GitHub Actions
  • Azure DevOps

Databases
  • PostgreSQL
  • SQL Server
  • Vector databases
  • Azure Data Services

Security Requirements
  • U.S. citizenship required.
  • Ability to pass government background investigation.
  • Ability to comply with all applicable government security and information assurance requirements.

Success Criteria
Within the first 12 months, the selected candidate will:
  • Deploy and support production AI solutions in Azure Government.
  • Establish repeatable MLOps processes for AI model deployment and maintenance.
  • Deploy and manage secure local/open-source LLM environments.
  • Develop mission-focused AI applications leveraging RAG and agentic workflows.
  • Improve operational efficiency through automation and advanced analytics.

Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required.
Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran's status, or any classification protected by applicable state or local law.
EEO Employer/Vet/Disabled
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k,)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Short Term & Long Term Disability

Apply