Description

You will build and maintain end-to-end machine learning systems and data products.

This role is on-site.

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.
• Evaluate and improve existing ML systems and models.
• Collaborate with team members to resolve data-related technical issues and support data product requirements.

Required Skills

• Minimum 2 years of professional experience in machine learning system development, cloud computing, or backend development.
• Strong programming skills in Python and Java.
• Experience implementing data pipelines using Python.
• Experience with workflow 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.

Preferred Skills

• Experience with natural language processing or computer vision.
• Database development experience with relational or MPP/distributed systems such as Oracle, Teradata, Vertica, or Hive.

Key Skills

Education

Any Gradute