Genworth · 2 months ago
GenAI Machine Learning Ops Engineer
Enact Mortgage Insurance Corporation is a leading publicly traded U.S. private mortgage insurance provider. They are seeking a GenAI Machine Learning Ops Engineer to design, build, and operate the end-to-end platform and pipelines for moving models to production while collaborating with various teams to standardize patterns and ensure model governance.
FinanceFinancial ServicesFinTechInsurance
Responsibilities
Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation, packaging, and release
Stand up and operate core platform components—model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML
Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events
Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs
Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies
Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews
Provide golden paths, IaC modules, and templates that help DS/DE teams ship safely and quickly (containers, build specs, Git workflows)
Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers
Qualification
Required
Bachelor's degree in computer science, information technology, cloud engineering or similar field
5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, Make; strong containerization with Docker
5+ years experience with ML Tooling: Experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML)
5+ years experience with Pipelines & Orchestration: Step Functions, SageMaker Pipelines, event-driven designs with EventBridge/SQS/Kinesis
3+ + years experience with AWS Foundations: ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF
Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark
3+ years hands on experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services
Proven experience with feature pipelines for batch/stream, schema management, partitioning, performance tuning; parquet/iceberg best practices
Demonstrated ability to perform unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring
Experience with IaC & Platforms: Terraform (preferred), parameterized modules, environment promotion, tagging and cost governance
Demonstrated operational mindset with experience in incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers
Clear communication, collaborative mindset, and a bias to automate & document
Preferred
Experience adhering to and implementing data security and governance best practices in a highly regulated environment (encryption, RBAC, auditing, regulatory standards – HIPAA, SOC2, etc)
Benefits
Hybrid work schedule (in-office days Tues/Wed/Thurs)
Generous Time Off
40 Hours of Volunteer Time Off
Tuition Reimbursement and Student Loan Repayment
Paid Family Leave and Flexible Spending Accounts
401k with up to 5% employer match
Fitness and Emotional Wellness Reimbursements
Onsite Gym
Company
Genworth
Genworth is an insurance company that is dedicated to help people secure their financial lives, families, and futures.
H1B Sponsorship
Genworth 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
2022 (1)
2021 (8)
2020 (5)
Funding
Current Stage
Public CompanyTotal Funding
$450.1M2018-03-07Post Ipo Debt· $450M
2016-10-23Acquired
2016-10-09Post Ipo Equity· $0.1M
Recent News
Business Wire
2025-11-01
2025-10-24
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