Description

You will build and deploy machine learning systems that drive core advertising functions, including ad placement recommendations, product suggestions, and keyword, bid, and budget optimization.

This role is remote.

Responsibilities

• Build and manage data pipelines to support large-scale data processing.
• Train, improve, and deploy ML models into live production environments.
• Implement monitoring tools to ensure system correctness, reduce latency, and troubleshoot failures.
• Analyze experiment results and communicate technical insights to non-technical stakeholders.

Required Skills

• 5+ years of professional experience in ML engineering.
• Strong proficiency in Python, SQL, and Java or Scala.
• Proven experience deploying ML models into production.
• Experience with large-scale data processing tools (e.g., Spark, big databases).
• Understanding of ML systems at scale, including cloud infrastructure, GPUs, and autoscaling.
• Familiarity with core machine learning concepts and practical application.
• Ability to debug complex system issues and communicate clearly across teams.

Preferred Skills

• Experience with Deep Learning or LLMs.
• Familiarity with monitoring tools like Grafana Dashboards.

Key Skills

Education

Any Gradute