Описание: Lumenalta partners with forward-thinking organizations to build scalable technology solutions that improve user experiences and accelerate business growth. Its global teams emphasize transparency, autonomy, technical excellence, and measurable impact.
Задачи:
•Design and maintain MLflow-based workflows for experiment tracking, model registry, versioning, and lifecycle management
•Build and manage Feature Store infrastructure for reusable and 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 while optimizing compute efficiency, reproducibility, and cost
•Monitor deployed models for data drift, performance degradation, and system health, triggering automated retraining workflows as needed
•Collaborate with Data Scientists and Data Engineers to reduce friction between experimentation and production
Требования:
•3–5+ Years of experience in MLOps, ML platform engineering, or DevOps for ML, with proven production ML deployments
•Hands-on expertise with MLflow for tracking, registry, and project management in Databricks or standalone environments
•Experience building and consuming Feature Store solutions, including Databricks Feature Store or equivalent
•Proven experience deploying and serving ML models at scale using real-time and batch inference patterns
•Ability to design automated pipelines for model training, validation, and deployment with modern CI/CD tooling
•Strong familiarity with Databricks for distributed training, job orchestration, and cluster management
•Knowledge of model monitoring practices, including drift detection, alerting, and retraining triggers
Условия:
•100% Dedicated to one project at a time
•Work with a team of talented and friendly senior-level developers
•Projects provide opportunities to use leading technology
•Fully remote position open to candidates based in Europe and Africa
•Candidates must maintain at least a 6-hour overlap with project core business hours, primarily aligned with Central or Eastern U.S. time zones
•Applications accepted until October 4th, 2026; feedback expected by October 12th, 2026
