Remote MLOps Engineer (Databricks, AWS) - REMOTE

Description:

• Xenon7 is seeking an MLOps Engineer to work remotely on a contract basis.
• The role involves leading the development of MLOps automation solutions within the Databricks platform.
• The engineer will enhance machine learning operations by integrating robust automation processes.
• Key responsibilities include developing and implementing automation for model promotion workflows using Databricks Model Registry and MLflow.
• The engineer will design and deploy scalable model serving solutions leveraging Databricks Model Serving and AWS services.
• Establishing comprehensive monitoring systems for the Databricks Lakehouse to ensure data quality and model performance is essential.
• Automating Databricks workflows for efficient execution of notebooks, scripts, and ML pipelines is a critical task.
• The role requires utilizing AWS Lambda and API Gateway to create event-driven architectures that trigger Databricks jobs and manage model endpoints.
• Collaboration with cross-functional teams to integrate MLOps solutions seamlessly into existing infrastructure is expected.

Requirements:

• Candidates must have 6+ years of experience in software engineering.
• Proficiency in Python is required, with a strong background in developing automation scripts and tools.
• Hands-on experience with AWS services, particularly Lambda and API Gateway, is necessary for building serverless applications.
• In-depth knowledge of Databricks is essential, including experience with MLflow, Model Serving, and Lakehouse architecture.
• Familiarity with MLOps practices and tools for continuous integration and deployment of machine learning models is required.
• Experience in setting up monitoring and alerting systems for data pipelines and ML models is a must.

Benefits:

• The position offers the opportunity to work with leading enterprises and innovative startups on cutting-edge projects.
• Employees will be part of a product team working on a self-service company-wide platform in the pharmaceutical industry.
• The role provides a chance to enhance technological capabilities and drive innovation within a Fortune 500 company.
• Working remotely allows for flexibility and a better work-life balance.