MLOps Engineer: Databricks, MLflow & Feature Store

Lumenalta; United States; Remote; PHP 4,297,114 - 6,138,735; Full time

Benefits offered by this job

Dedicated project focus

Senior-level team

Leading tech projects

Job summary

Lumenalta is seeking an experienced MLOps Engineer to operationalize machine learning on the Databricks platform. This is a future opportunity role where you will bridge data engineering and ML, building an infrastructure for model deployments.

Ideal candidates should have 3 to 5+ years of experience in MLOps, hands-on knowledge of MLflow, and the ability to design automated pipelines. This remote position is flexible with at least a 6-hour overlap with U.S. business hours.

Qualifications

• 3-5+ years in MLOps or ML platform engineering.
• Hands-on expertise with MLflow in Databricks.
• Experience deploying ML models at scale.

Responsibilities

• Design and maintain MLflow-based workflows.
• Build and manage Feature Store infrastructure.
• Develop model deployment pipelines.

Skills

MLOps

MLflow

Feature Store

CI/CD

Databricks

Job description

Lumenalta is seeking an experienced MLOps Engineer to operationalize machine learning on the Databricks platform. This is a future opportunity role where you will bridge data engineering and ML, building an infrastructure for model deployments.

Ideal candidates should have 3 to 5+ years of experience in MLOps, hands-on knowledge of MLflow, and the ability to design automated pipelines. This remote position is flexible with at least a 6-hour overlap with U.S. business hours.