Join the forefront of AI innovation as a Senior Machine Learning Engineer specializing in MLOps practices. This role emphasizes building reliable, scalable ML solutions integrated into production environments.

You’ll leverage your skills to create and maintain end-to-end machine learning pipelines using Databricks. The position demands close collaboration with cross-functional teams to ensure best practices in model versioning and performance monitoring. Additionally, you will support GenAI initiatives and enhance software engineering methodologies.

Key Responsibilities: • Optimize end-to-end ML pipelines covering all aspects of deployment • Translate experimental models into robust production services • Implement MLOps practices such as monitoring and versioning • Collaborate to define model requirements and success metrics • Troubleshoot performance issues in production environments

Requirements: • 5+ years in Machine Learning Engineering • Proven experienc...