CBTS · 1 day ago
Sr MLOps Engineer (W2 Contract)
Burbank, CA
Contract
Onsite
Mid, Senior Level
4+ years expCBTS is seeking a Senior MLOps Engineer to design, build, and operate scalable machine learning infrastructure in AWS. This role involves partnering with Data Scientists and platform teams to productionize models and ensure reliable model lifecycle management.
Cloud ComputingConsultingInformation TechnologyCloud InfrastructureService Industry
Hiring Manager
Prem Kumar (PK)
Responsibilities
Enable production deployment of machine learning models
Partner with Data Scientists to prepare development code for production deployment, including refactoring, packaging, standardization, and performance optimization
Build and maintain CI/CD pipelines for model training, validation, and deployment
Support batch and real-time inference workflows using scalable AWS-native services
Develop and maintain model APIs to be integrated into user products
Build and operate core MLOps platform capabilities
Design and implement a centralized model registry to track versions, metadata, lineage, and promotion stages
Build and maintain a feature store to support consistent feature computation for training and inference
Establish standardized ML pipelines for data ingestion, training, evaluation, deployment, and monitoring
Define infrastructure-as-code patterns to provision and manage ML environments reliably
Ensure reliability, monitoring, and governance of ML systems
Implement monitoring for model performance, data drift, and operational health
Establish alerting and rollback strategies for production model failures
Partner with security and platform teams to ensure compliance, access controls, and auditability
Collaborate across product, data, and platform teams
Work closely with Data Scientists to align experimentation workflows with production constraints
Collaborate with data engineers and architects to ensure feature availability, freshness, and quality
Support agile product PODs by communicating API design and delivery for integration into user products
Qualification
Required
Experience in MLOps, ML Engineering, or backend software engineering with ML systems
4+ years of experience
Strong experience building and operating ML systems in AWS (e.g., SageMaker, ECS, Lambda, Step Functions, S3, IAM)
4+ years of experience
Proficiency in Python and experience with ML frameworks and tooling used in production environments
4+ years of experience
Strong understanding of the machine learning lifecycle and how data science workflows translate to production systems
Ability to collaborate effectively with Data Scientists and translate experimental work into robust production solutions
Strong communication skills and comfort working across technical and non-technical stakeholders
Strong experience building and operating ML systems in AWS (e.g., SageMaker, ECS, Lambda, Step Functions, S3, IAM)
Proficiency in Python and experience with ML frameworks and tooling used in production environments
Experience building APIs and backend services for model inference
Hands-on experience with CI/CD, infrastructure as code (e.g., Terraform, CloudFormation), and containerization
Company
CBTS
CBTS provides end-to-end IT and communications solutions that allow businesses to improve efficiency, enable innovation, and mitigate risk.
1001-5000 employees
H1B Sponsorship
CBTS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2024-02-06Acquired
Leadership Team
Kristin Russell
Chief Executive Officer
Phil Clark
SVP, National Territory Sales
Recent News
Business Wire
2026-01-16
2025-11-04
Company data provided by crunchbase