MLOps Engineer - Enterprise AI Deployment & Observability

Valid8 Financial, Inc.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Full health benefits

Commuter benefits

Annual bonus

Job summary

BDIPlus seeks an experienced MLOps Engineer to build and sustain enterprise-grade ML infrastructure. You will design scalable deployment pipelines, registries, data versioning, and automated evaluation and retraining workflows across client environments.

You will monitor model drift, latency, and infra costs, troubleshoot production ML issues, and collaborate with Data Scientists and client teams to ensure governance and reproducibility of AI solutions.

Qualifications

• Bachelor's or Master's in Computer Science, Software Engineering, Data Engineering, or related field.
• 3+ years supporting production ML platforms or cloud infrastructure.
• Experience building and maintaining ML deployment pipelines and CI/CD for ML systems.

Responsibilities

• Design, build, and maintain scalable ML deployment pipelines.
• Develop model registries, artifact repos, data versioning, and reproducible ML environments.
• Build automated evaluation pipelines for production ML models.
• Implement automated data quality monitoring including profiling, anomaly detection, validation, quarantine, and alerting.
• Develop automated retraining workflows, promotion gates, rollback capabilities, and audit trails.
• Monitor production environments for model drift, latency, and costs.
• Troubleshoot production ML issues and lead incident response.
• Build CI/CD pipelines supporting enterprise AI apps.
• Collaborate with Data Scientists and client engineering teams to deploy and maintain AI solutions.
• Ensure governance, security, lineage, reproducibility, and audit readiness across ML platforms.

Skills

SQL

Python

AWS SageMaker

Databricks

Azure ML

Vertex AI

Terraform

CloudFormation

ML observability

Data validation

Testing frameworks

Git/DevOps

Education

Bachelor's or Master's in CS/Software/Data Engineering or related field

Tools

Databricks

Azure ML

Vertex AI

Terraform

CloudFormation

Job description

BDIPlus seeks an experienced MLOps Engineer to build and sustain enterprise-grade ML infrastructure. You will design scalable deployment pipelines, registries, data versioning, and automated evaluation and retraining workflows across client environments.

You will monitor model drift, latency, and infra costs, troubleshoot production ML issues, and collaborate with Data Scientists and client teams to ensure governance and reproducibility of AI solutions.