Assistant Machine Learning Engineer
Core
Deploy and configure cloud ML environments, build data pipelines, and support platform services for product and analytics use cases.
Role type
Assistant Machine Learning Engineer (Cloud Infrastructure & Data Engineering)
Builds
Ascend Sandbox environments, data pipelines, and platform services
Domain
Cloud infrastructure, data engineering, machine learning operations
Deliverable
production ML models | infrastructure
Required skills
Azure cloud services, Databricks, CI/CD (Jenkins), Infrastructure as Code (Terraform), Linux, Python, PySpark, SparkSQL, Delta Lake, DataFrames, Model tracking, OOP principles, data structures, algorithms
Preferred skills
Containerization (FastAPI), AWS services (S3, EC2, Lambda, EKS, Sagemaker), Apigee, SSO integrations (Okta)
Technologies
Azure, Databricks, Jenkins, Terraform, Linux, Python, Pandas, Numpy, Matplotlib, PySpark, SparkSQL, Delta Lake, FastAPI, AWS, S3, EC2, Lambda, EKS, Sagemaker, Apigee, Okta
Responsibilities
Deploy and configure Ascend Sandbox environments using CI/CD; Design, build and maintain data pipelines; Contribute to end-to-end platform and services design and rollout; Support and maintain Sandbox platform and services; Drive continuous improvement; Support product development on top of Ascend platforms
Seniority
Mid-level, hands-on IC