Top 11 Ai ml engineer Jobs in Columbia Sc

Sr. ML Engineer – ML & Applied AI
Gap Inc. —Columbia, SC
- $181,400 - $235,800 a year
- Full-time
- Azure
- Computer Science
- System design
- Store discount
- Employee stock purchase plan
Senior Software Engineer Applied AI
Advanced Monitored Caregiving Inc. —Columbia, SC
- $125,000 - $180,000 a year
- Full-time
- Remote
- US work authorization
- Senior level
9d
US Tech - AI Engineering Senior Associate
PRICE WATERHOUSE COOPERS —Columbia, SC
- $55,000 - $187,000 a year
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Applied AI Health System Engineer – Senior Manager
PRICE WATERHOUSE COOPERS —Columbia, SC
- $124,000 - $280,000 a year
- Azure
- HIPAA
- 8 years
- Paid holidays
- Health insurance
Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Columbia, SC
- $83,430 - $222,480 a year
- Full-time
- 3 years
- High school diploma or GED
- Bachelor's degree
- Health insurance
- Dental insurance
Payer Dev, Git & ML-Ops Engineer, Senior Associate
PRICE WATERHOUSE COOPERS —Columbia, SC
- $77,000 - $202,000 a year
- Computer science
- Azure
- Computer Science
- Paid holidays
- Health insurance
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Columbia, SC
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance

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Senior Software Engineer Applied AI
Advanced Monitored Caregiving Inc. —Columbia, SC
We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM…
$125,000 - $180,000 a year
9d
Sr. ML Engineer – ML & Applied AI
Gap Inc. —Columbia, SC
Strong programming expertise in Python and solid software engineering fundamentals (data structures, system design, APIs).
$181,400 - $235,800 a year

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AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Ohio
You’ll design and deliver scalable, secure services that bring large language models into real operational use—connecting them to live infrastructure data,…
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —Ohio
Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. *NO H1B Candidates** REST ALL CAN APPLY **.
Quick Apply

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ai ml engineer jobs near columbia sc

Sr. ML Engineer – ML & Applied AI

Gap Inc. -
Columbia, SC

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Job Details

Full-time
$181,400 - $235,800 a year

Benefits

Store discount
Employee stock purchase plan
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Life insurance

Qualifications

AI models

Full Job Description

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.

Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.

We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.

We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About the role

Gap Inc. is seeking a Senior Machine Learning Engineer with 10+ years of experience to design, build, and scale production-grade machine learning and AI systems that power data-driven decision making across the enterprise.This role is focused on end-to-end ML system ownership, including data pipelines, feature engineering, model training, deployment, monitoring, and continuous optimization. You will lead the development of scalable ML platforms, drive best practices in MLOps, and enable reliable, high-performance model inference in both batch and real-time environments.The ideal candidate combines strong software engineering expertise with deep ML knowledge and has experience building robust, scalable ML systems in production, including modern applications involving large language models (LLMs) and agent-based AI systems.

What you'll do

Architect and build scalable, production-grade ML systems from experimentation to deployment and lifecycle management
Design and implement end-to-end ML pipelines, including data ingestion, feature engineering, training, validation, and inference
Develop and maintain high-performance model serving systems using APIs (e.g., FastAPI) for real-time and batch inference
Lead the design and implementation of feature stores and reusable feature pipelines across teams
Build and optimize distributed data processing workflows using Spark, Databricks, or similar platforms
Implement and enforce MLOps best practices, including CI/CD pipelines, automated retraining, model versioning, and experiment tracking
Design and manage model monitoring and observability frameworks to track performance, drift, latency, and system health
Drive strategies for model retraining, drift detection, and continuous improvement
Collaborate closely with data engineers, platform teams, and product stakeholders to integrate ML solutions into production systems
Contribute to the adoption of modern AI capabilities, including LLMs, vector databases, retrieval-augmented generation (RAG), and agentic workflows
Ensure high standards of code quality, testing, documentation, and reproducibility

Who you are

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
10+ years of experience in machine learning, software engineering, or related roles, with significant experience in production ML systems
Strong programming expertise in Python and solid software engineering fundamentals (data structures, system design, APIs)
Extensive experience with ML frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
Proven experience designing and deploying scalable ML pipelines and services in production
Hands-on experience with model serving frameworks and API development (e.g., FastAPI, Flask)
Strong experience with containerization (Docker) and orchestration platforms such as Kubernetes
Experience working with cloud platforms (GCP, AWS, or Azure) and building cloud-native ML solutions
Deep understanding of ML lifecycle management, including training, evaluation, deployment, monitoring, and retraining
Experience implementing CI/CD pipelines for ML workflows and managing version control systems (Git)
Strong experience with SQL and distributed data processing frameworks (e.g., Spark, PySpark)
Excellent problem-solving skills and ability to design scalable, maintainable systems

Salary Range: $181,400.00 - $235,800.00
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Benefits at Gap Inc.

Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
One of the most competitive Paid Time Off plans in the industry.*
Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
Employee stock purchase plan.*
Medical, dental, vision and life insurance.*
See more of the benefits we offer.

For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Apply Now

Refine Your Search

ai ml engineer jobs in columbia sc

Sr. ML Engineer – ML & Applied AI

Senior Software Engineer Applied AI

US Tech - AI Engineering Senior Associate

Applied AI Health System Engineer – Senior Manager

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Applied AI Health Data System Engineer-Senior Manager

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About Gap Inc.

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