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Intern Computer Vision Deep Learning Engineer Jobs in Kentucky

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Bachelor's orMaster's in Computer Science, Engineering, or a related quantitative field. * 10+ ... Strong understanding of deep learning frameworks (PyTorch, TensorFlow). * Experience with ...

Bachelor's orMaster's in Computer Science, Engineering, or a related quantitative field. * 10+ ... Strong understanding of deep learning frameworks (PyTorch, TensorFlow). * Experience with ...

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Intern Computer Vision Deep Learning Engineer information

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Kentucky? For Intern Computer Vision Deep Learning Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Kentucky look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Kentucky are:
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Kentucky as of June 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Principal AI Engineer (Agentic AI)

Principal AI Engineer (Agentic AI)

Humana, Inc.

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Humana rating

8.0

Company rating: 8.0 out of 10

Based on 252 frontline employees who took The Breakroom Quiz

145th of 260 rated insurance


Job description

Become a part of our caring community
The Principal AI Engineer acts as Humana's senior technical authority for agentic AI platforms, overseeing strategy, architecture, and engineering execution. This role ensures the development and operation of secure, scalable, and innovative AI infrastructure, tools, and services that empower teams to build and deploy autonomous agent-driven applications. By collaborating across engineering, data science, and operations, the Principal AI Engineer advances enterprise AI capabilities, sets technical standards, and delivers production-ready solutions aligned with Humana's long-term technology vision.
Responsibilities
  • Lead enterprise architecture, design, and engineering for agentic AI platforms, ensuring secure, scalable, and reliable infrastructure.

  • Build and maintain developer tools, CI/CD pipelines, and automation for efficient agentic AI application development and deployment.

  • Architect and manage cloud-based AI services (GCP preferred), including Kubernetes, security controls, and observability systems.

  • Develop robust backend APIs and services in Python to support agentic AI platform functionality and data management.

  • Collaborate with cross-functional teams, set engineering standards, mentor peers, and drive innovation aligned with Humana's AI technology roadmap.

Use your skills to make an impact
Required Qualifications
  • Bachelor's or Master's in Computer Science, Engineering, or a related quantitative field.

  • 10+ years of professional software or platform engineering experience.

  • Deep expertise in Python, including building production services and shared libraries used by others.

  • Hands-on experience with modern AI systems, including LLM integration, RAG, embeddings, and applied generative AI patterns.

  • Strong background in machine learning engineering, including model deployment, monitoring, evaluation, and lifecycle management.

  • Expert-level understanding of FastAPI, Flask, or similar frameworks, and REST/gRPC service design.

  • Strong proficiency with cloud-native development on AWS, GCP, or Azure.

  • Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes).

  • Production experience with CI/CD pipelines, version control, and modern DevOps practices.

  • Demonstrated ability to own large, ambiguous problems and deliver high-value, high-quality solutions.

Preferred Qualifications
  • Experience shaping engineering culture or influencing architectural direction across teams.

  • Experience with generative AI tooling (e.g., LangChain, LlamaIndex, PydanticAI, or similar).

  • Strong understanding of deep learning frameworks (PyTorch, TensorFlow).

  • Experience with distributed systems (Akka, Flink, or similar).

  • Prior work building platforms rather than one-off applications.

  • A track record of pragmatic decision-making, balancing innovation with maintainability and long-term value.

Additional Information
This position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Dallas, TX; Boston, MA; New York City; or Washington, D.C.
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$172,200 - $236,900 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

What Humana employees say

Pay

Benefits

Hours and flexibility

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About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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