Software Engineer (Machine Learning Infrastructure)

Job Description
Our client is the first experience platform for communications service providers in SaaS in the globe who is searching for a qualified candidate to join their firm:
Create a vision and construct a roadmap to build the fundamental machine learning infrastructure for the Data Science team.
Develop and deploy scalable tools and services to handle machine learning training and inference.
Design data pipelines and engineering infrastructure to support machine learning systems at scale.
Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
Empower team members to follow the machine learning and software engineering best practices.
Identify and evaluate new technologies to improve performance, maintainability, and reliability.
Support model development, with an emphasis on auditability, versioning, and data security
Job Requirement
BS/MS/PhD in Computer Science, Electrical Engineering or related technical field
At least 2+ years of industry experience in developing ML systems, with emphasis on MLOps
High proficiency in writing idiomatic code in Python and/or Scala
Exposure to machine learning and software engineering methodologies and best practices
Experience working with cloud computing and database systems, and machine learning technologies, such as AWS RDS, Sagemaker, Lambda, Spark (Databricks), MLFlow, Airflow
Experience and demonstrated capability to handle challenges with vague or abstract problem definition
Can work asynchronously with teams from different time zones
Note: Ứng viên hiện sẽ làm remote cho tới giữa năm thì phải làm offline tại văn phòng HCM (Chưa có địa chỉ cụ thể về văn phòng)