Machine Learning Engineer – MLOps Lead jobs in United States
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CoSourcing Partners - Enterprise-AI and IT Services Company · 22 hours ago

Machine Learning Engineer – MLOps Lead

positionUnited States
timeContract
remoteRemote
senioritySenior Level

CoSourcing Partners is an Enterprise-AI and IT Services Company, and they are seeking a Machine Learning Engineer – MLOps Lead to productionize machine learning at scale. The role involves building and managing MLOps pipelines, ensuring compliance, and delivering continuously improving ML systems that support business operations.

ConsultingRobotic Process Automation (RPA)RoboticsStaffing Agency
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H1B Sponsor Likelynote
Hiring Manager
Shubham Yadav
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Responsibilities

Fully assess current ML pipelines, data flows, and deployment architecture
Identify top 3 reliability, security, and performance risks in current ML lifecycle
Produce a documented MLOps modernization roadmap
Stand up standardized CI/CD pipelines for model training, validation, and deployment
Implement automated monitoring, alerting, and versioning across active production models
Deploy at least one business-critical ML model into hardened production pipelines
Establish security, audit, and compliance controls for model governance
Reduce model deployment cycle time by 30–50%
Operate a fully standardized enterprise MLOps framework (MLflow/Kubeflow/Airflow based)
Enable continuous retraining and automated rollback capability
Achieve ≥ 99.5% model uptime
Establish retraining cadence that improves model accuracy and reliability quarter-over-quarter
Mentor junior engineers and codify ML engineering standards
End-to-end MLOps pipelines (data → training → testing → deployment → monitoring → retraining)
Kubernetes-based model serving platforms
Cloud ML platforms (Vertex AI / SageMaker / Azure ML)
CI/CD automation for ML systems
Model observability and alerting using Prometheus / Grafana
Secure, version-controlled ML governance frameworks

Qualification

MLOps pipelinesCI/CD for ML modelsCloud ML platformsMonitoringRetrainingPython engineeringMLflowKubeflowAirflowKubernetesModel governanceModel observabilityVersion control

Required

Proven delivery of production ML pipelines (not just experiments)
Built CI/CD for ML models in Kubernetes environments
Implemented monitoring, retraining, and version governance
Delivered at least one enterprise-scale ML deployment
Hands-on experience with MLflow / Kubeflow / Airflow
Cloud ML production deployment (AWS, GCP, or Azure)
Strong Python engineering background

Company

CoSourcing Partners - Enterprise-AI and IT Services Company

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We are a Chicago-based Enterprise-AI and IT Services Company.
dateFounded in 2011
location
Westmont, Illinois, USA
people-size51-200 employees
web-link
https://cosourcingpartners.com/

H1B Sponsorship

CoSourcing Partners - Enterprise-AI and IT Services Company 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
2023 (2)
2021 (1)

Funding

Current Stage
Growth Stage

Leadership Team

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Scott Upp
President & CEO, Intelligent, Robotic Process Automation Delivery and IT/Ai Staffing
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Brandi Henning
Chief Operating Officer
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Company data provided by crunchbase