Description

You will develop and maintain machine learning systems, cloud computing infrastructure, and backend services.

Responsibilities

• Automate end-to-end ETL and ML pipelines with a structural understanding of data products.
• Deploy and maintain ML pipelines within existing cloud resources.
• Collaborate with team members to resolve data-related technical issues and support data product requirements.
• Evaluate and improve existing ML systems and models.

Required Skills

• Minimum 2 years of professional experience in machine learning system development.
• Strong programming skills in Python and Java.
• Proven experience implementing data pipelines using Python.
• Experience with workflow scheduling and orchestration using Kubernetes, Airflow, or Oozie.
• ETL experience using Spark, Kafka, or Hadoop.
• Experience with query APIs using JSON, Protocol Buffers, or XML.
• Proficiency with Unix-based command line interfaces and Bash scripting.
• Strong NLP experience.
• Bachelor of Computer Science or a degree in a quantitative field such as engineering or mathematics.

Preferred Skills

• Experience with computer vision or natural language processing.
• Database development experience with Relational or MPP/distributed systems like Oracle, Teradata, Vertica, or Hive.
• Data visualization or web development skills.

Key Skills

Education

BACHELOR OF COMPUTER SCIENCE