ML Ops Engineer
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Job Description
ML Ops Engineer productionizing reliable, observable machine-learning systems for Nift’s performance-marketing platform. Building cloud infrastructure, deployment pipelines, monitoring, and model governance.
Responsibilities:
- Productionize batch and real-time training and inference
- Establish CI/CD for models, data/versioning practices, and model governance
- Centralize feature generation and manage model registry/metadata
- Streamline model deployment workflows
- Implement monitoring for data quality, drift, model performance/latency, and pipeline health
- Create clear alerting and dashboards
- Refactor research code into reusable components
- Enforce repository structure, testing, logging, and reproducibility
- Collaborate with data scientists, analysts, and engineers to turn prototypes into production systems
- Provide mentorship and technical guidance
- Drive the technical vision for ML platform capabilities
- Establish architectural patterns and team standards
- Report to the Data Science Manager
Requirements:
- 5+ years in ML Ops, including ownership of ML infrastructure for large-scale systems
- Strong coding, debugging, performance analysis, testing, and CI/CD discipline
- Reproducible builds
- Extensive commercial experience with Python developing automated pipelines bringing ML models to production
- Production experience with AWS, DataBricks, Docker, and Kubernetes (EKS/ECS or equivalent)
- Experience with Terraform or CloudFormation
- Experience with MLflow/SageMaker or similar production ML tooling
- Experience with ML monitoring for quality, drift, and performance, plus pipeline alerting
- Experience with large-scale batch/stream processing using PySpark, Glue, Dask, or Kafka
- Experience integrating third-party data
- Familiarity with real-time endpoints, batch scoring, and feature stores
- Exposure to model governance/compliance and secure ML operations
- Excellent communication and ability to work with data scientists, analysts, and engineers in a fast-paced startup
- Proactive and self-driven, with strong initiative and ownership
Benefits:
- Competitive compensation
- Flexible remote work
- Unlimited Responsible PTO
- Opportunity to join a growing, cash-flow-positive company with direct impact on Nift's revenue, growth, scale, and future success
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