enableIT · 21 hours ago
ML Ops Engineer
Burbank, CA
Contract
Onsite
Senior Level, Lead/Staff
$80/hr - $100/hr
10+ years expenableIT is building a brand-new application and is seeking an experienced MLOps Engineer to architect and operationalize their data science infrastructure. The role involves creating scalable deployment pipelines and working closely with a team to deploy streaming ML models at scale.
AnalyticsConsultingCyber SecurityInformation TechnologyInnovation ManagementIT ManagementRisk Management
No H1B
Hiring Manager
Trent Jones
Responsibilities
Build & maintain cloud infrastructure for data science and machine learning workflows using infrastructure-as-code principles
Design and implement CI/CD pipelines that operationalize data science models from development to production
Deploy streaming ML models on AWS SageMaker and manage the full lifecycle of model deployment
Establish infrastructure-as-code standards using Terraform to ensure reproducible, version-controlled environments
Implement containerization strategies with Docker and Kubernetes for scalable model serving
Set up monitoring and observability using Splunk and DataDog to ensure system reliability and performance
Automate configuration management using Ansible for seamless deployments across environments
Collaborate closely with data scientists to understand model requirements and translate them into robust production systems
Qualification
Required
Must be eligible for w2 employment without sponsorship
Must be local to the LA/Burbank Area
10+ years of Python programming experience with a focus on automation and infrastructure
5+ years of hands-on experience with Kubernetes, Terraform, and cloud infrastructure
Proven track record deploying streaming ML models on AWS SageMaker
Deep expertise in CI/CD automation and establishing deployment pipelines from scratch
Strong experience with containerization (Docker) and orchestration (Kubernetes)
Infrastructure-as-Code proficiency with Terraform
Configuration management experience with Ansible or similar tools
Git and scripting for version control and automation workflows
Preferred
Experience with MLOps practices and ML model lifecycle management
Familiarity with Managed Streaming for Apache Kafka (MSK)
Knowledge of Splunk and DataDog for monitoring and observability
Background in data engineering or data science domains
AWS certifications or equivalent cloud expertise
Company
enableIT
EnableIT is an organization that offers consultant-led services in the financial risk, cybersecurity, data and analytics platform.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Michael Stern
Chief Revenue Officer
Company data provided by crunchbase