Machine Learning Engineer

pAt Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work. /p pWe’re seeking an experienced MLOps Engineer responsible for operationalizing machine learning at scale on the Databricks platform. This role bridges data engineering and ML, building the infrastructure and workflows that take models from experimentation to reliable production deployments. /p h3What You'll Be Doing /h3 ulliDesign and maintain MLflow-based workflows for experiment tracking, model registry, versioning, and lifecycle management. /liliBuild and manage Feature Store infrastructure to enable reusable, consistent feature pipelines across teams and use cases. /liliDevelop model deployment pipelines, including serving infrastructure, A/B testing support, versioning, and rollback strategies. /liliImplement CI/CD pipelines tailored for ML workflows, including automated testing, validation gates, and deployment triggers. /liliOrchestrate distributed model training on Databricks, optimizing for compute efficiency, reproducibility, and cost. /liliMonitor deployed models for data drift, performance degradation, and system health, triggering automated retraining workflows as needed. /liliCollaborate with Data Scientists and Data Engineers to reduce friction between experimentation environments and production. /li /ul h3What We're Looking For /h3 ulli3–5+ years in MLOps, ML platform engineering, or DevOps for ML, with proven production ML deployments. /liliHands-on expertise with MLflow for tracking, registry, and project management within Databricks or standalone environments. /liliExperience building and consuming Feature Store solutions (Databricks Feature Store or equivalent). /liliProven experience deploying and serving ML models at scale, including real-time and batch inference patterns. /liliAbility to design automated pipelines for model training, validation, and deployment using modern CI/CD tooling. /liliStrong familiarity with Databricks for distributed training, job orchestration, and cluster management. /liliKnowledge of model monitoring practices, including drift detection, alerting, and retraining triggers. /li /ul h3Why Lumenalta is an amazing place to work at /h3 pAt Lumenalta, you can expect that you will: /p ulliBe 100% dedicated to one project at a time so that you can innovate and grow. /liliBe a part of a team of talented and friendly senior-level developers. /liliWork on projects that allow you to use leading tech. /li /ul h3Location /h3 pThis is a fully remote position open to candidates based in Europe and in Africa. While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours of the project, which are primarily aligned with the Central, or Eastern U.
S. time zones to ensure effective collaboration with project teams. /p h3Application Deadline /h3 pApplications will be accepted until bNovember 8th, 2026 /b. Candidates can expect feedback by bNovember 16th, 2026 /b. /p