3+ years in MLOps, Platform Engineering, or Infrastructure Engineering
Experience deploying machine learning models in production
Strong Python development and scripting skills
Hands-on experience with AWS cloud services
Familiarity with Databricks or similar platforms
Experience building and maintaining CI/CD pipelines
Proficient in Docker and Kubernetes
Knowledge of monitoring and incident response
Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
Responsibilities
Engineer cloud infrastructure using AWS and Databricks
Manage Kubernetes and containerized environments
Automate CI/CD processes for deployment
Ensure monitoring and observability of AI systems
Collaborate with teams on engineering solutions
Engage in strategic planning for AI initiatives
Focus on hands-on engineering tasks
Benefits
Medical, Dental, and Vision Insurance
Career Development Opportunities
Health Savings Account (HSA)
Flexible Spending Accounts for health and dependents
Voluntary Life Insurance and Disability Insurance
401(k) with matching options
Paid Sick Time Leave
Legal and Identity Protection Plans
Pre-tax Commuter Benefit
529 College Saver Plan
Full Job Description
An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise environments.
This is an excellent opportunity for someone who wants to be at the center of real-world AI deployment without being confined to research-focused responsibilities. The organization is investing heavily in AI innovation and is seeking an engineer who can help bridge development and operations. Team members are encouraged to grow their expertise, influence best practices, and help scale cutting-edge AI capabilities used across diverse client engagements.
Required Skills & Experience
3+ years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
Experience deploying machine learning models into production environments
Strong Python development and scripting skills
Hands-on experience with AWS cloud services
Experience with Databricks or comparable data/AI platforms
Experience building and maintaining CI/CD pipelines
Docker and Kubernetes experience
Monitoring, observability, and incident response experience
Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
Desired Skills & Experience
Exposure to large language models (LLMs) and generative AI systems
Experience with AI cost optimization and resource management
SQL and data analytics experience
Infrastructure-as-Code experience
Model versioning and reproducibility knowledge
Experience supporting enterprise-scale AI workloads
What You Will Be Doing Tech Breakdown
40% Cloud Infrastructure (AWS, Databricks)
25% Kubernetes & Container Management
20% CI/CD & Deployment Automation
15% Monitoring, Observability & Reliability
Daily Responsibilities
80% Hands On Engineering
5% Strategic Planning
15% Team Collaboration
The Offer
Competitive hourly rate
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Career Development Opportunities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1 You will receive the following benefits:
Medical Insurance - Four medical plans to choose from for you and your family
Dental & Orthodontia Benefits
Vision Benefits
Health Savings Account (HSA)
Health and Dependent Care Flexible Spending Accounts
Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
Hospital Indemnity Insurance
401(k) including match with pre and post-tax options
