Description

Own the implementation, productionization, and monitoring of ML models and automated pipelines.

Responsibilities

• Implement, deploy, and monitor ML models and automated pipelines in production.
• Partner with data scientists to co-optimize technical designs and data processing code for scale.
• Collaborate with product, engineering, and DevOps teams to deliver end-to-end ML and LLM solutions.
• Design and implement infrastructure, tools, and automated workflows to streamline data-centric innovation.
• Drive adoption of ML platform capabilities including data access, model development, and testing.

Required Skills

• 5+ years of experience working with ML models and deploying them into production.
• Expertise in Python and SQL.
• Working experience with Apache Spark, Hadoop, Databricks, or other big data systems.
• Hands-on experience scaling data science solutions to production.
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
• Degree in Computer Science, Electrical Engineering, or a related computational field.
• Strong ability to coordinate complex project execution with cross-functional teams.

Preferred Skills

• Experience with LLMs, Scala, Ray, Kubernetes, or Airflow.

Key Skills

Education

ANY GRADUATE