RRemoteville
Curinos logoCurinos

Senior Engineer, ML/AI Ops

Skills
AlgorithmsApache SparkBig DataEmployee Assistance ProgramsLinuxOpsProduction Support
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong hands-on experience with Databricks Workflows Delta Lake Delta Live Tables Asset Bundles Unity Catalog and Genie Code
  • Proficiency with MLflow for experiment tracking model registry and deployments
  • Experience with LLMs agentic AI evaluation frameworks AI guardrails LLM monitoring observability prompt management and model lifecycle operations
  • Experience deploying models to Databricks Model Serving REST APIs or external endpoints
  • Familiarity with Python Spark and SQL for data and ML workflows
  • Solid understanding of CI/CD tools such as Databricks Asset Bundles and Jenkins
  • Competency with shell scripting in a Linux environment
  • Exposure to big data and AI stacks including Yarn AWS Spark Databricks and distributed computing
  • Some experience with real-time processing
  • Solid understanding of data structures and algorithms
  • Some experience with production support
  • Solid verbal and written communication skills
  • Team player able to work well with others

Nice to have

  • Self-discipline
  • Willingness to learn
  • Collaborative
  • Supportive
  • Intellectually curious

Day to day

  • Operationalize production-grade ML and AI models on a Databricks-native platform
  • Manage training tracking packaging deployment and monitoring across the model lifecycle
  • Build scalable governance and safety pipelines for model performance LLM evaluators and generative AI guardrails
  • Collaborate closely with data scientists data engineers and product managers to drive end-to-end design implementation and testing
  • Support compliance auditability reproducibility and high-quality monitoring in a regulated FinTech environment

Hiring process

  • Submit application
  • Request accommodations via careers@curinos.com if needed