Senior Machine Learning Engineer
Core
Deploy, productionize, and optimize machine learning models to build scalable batch and real-time inference solutions.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Scalable batch and real-time inference services, REST APIs, and AI-driven data services
Domain
Cloud-native AI and data engineering
Deliverable
production ML models
Required skills
Machine Learning, MLOps, Python, Azure, Databricks, REST API design, Microservices, Data Pipelines, Model Deployment, Performance Optimization
Preferred skills
Azure Machine Learning, MLflow, dbt, Spark, Docker, Kubernetes, API Security, Agile methodologies
Technologies
Azure, Databricks, Python, Docker, Kubernetes, MLflow, dbt, Spark
Responsibilities
Deploy and optimize ML models for low-latency inference; Design and develop secure REST APIs exposing AI models; Build high-performance inference services; Develop and maintain production data pipelines; Implement MLOps best practices including CI/CD and monitoring