MLOps Engineer – Databricks Platform

About the role

Lumenalta is looking for an experienced MLOps Engineer to operationalize machine learning at scale on the Databricks platform. You will bridge data engineering and ML, creating robust infrastructure that moves models from experimentation to reliable production.

Key responsibilities

• Design and maintain MLflow‑based workflows for experiment tracking, model registry, versioning, and lifecycle management.
• Build and manage Feature Store infrastructure to provide reusable, consistent feature pipelines.
• Develop model deployment pipelines with serving infrastructure, A/B testing support, versioning, and rollback strategies.
• Implement CI/CD pipelines for ML workflows, including automated testing, validation gates, and deployment triggers.
• Orchestrate distributed model training on Databricks, optimizing compute efficiency, reproducibility, and cost.
• Monitor deployed models for data drift, performance degradation, and system health, triggering automated retraining as needed.
• Collaborate with Data Scientists and Data Engineers to reduce friction between experimentation and production.

Required profile

• 3–5+ years of experience in MLOps, ML platform engineering, or DevOps for ML.
• Proven track record of production ML deployments.
• Hands‑on expertise with MLflow in Databricks or standalone environments.
• Experience building and consuming Feature Store solutions (Databricks Feature Store or equivalent).
• Strong familiarity with Databricks for distributed training, job orchestration, and cluster management.
• Knowledge of model monitoring practices, including drift detection, alerting, and retraining triggers.

Required skills

• MLflow
• Databricks
• Feature Store (Databricks or equivalent)
• CI/CD pipelines for ML
• Model monitoring and drift detection
• Distributed training orchestration
• A/B testing and model versioning

What we offer

• Fully remote work for candidates based in LATAM with a minimum 6‑hour overlap with US business hours.
• Opportunity to focus 100 % on one project at a time, fostering innovation and growth.
• Collaboration with a team of senior‑level developers using leading technologies.