Description

You will lead the integration and operationalization of machine learning models within the Search domain.

Responsibilities

• Bridge the gap between MLOps, data science, and leadership to maintain ML infrastructure.
• Integrate recommender systems into customer-facing products through collaborative software engineering.
• Deploy ML systems by managing infrastructure requirements including CPU, GPU, and networking.
• Execute A/B testing and iterative optimization using data-driven approaches.
• Operationalize ML models using established MLOps methodologies.

Required Skills

• 5+ years of experience in software engineering or MLOps roles.
• Hands-on experience with Google Vertex AI.
• Proficiency in BigQuery and general cloud technologies.
• Experience with recommender systems, specifically embedding-based retrieval, reinforcement learning, and transformers.
• Strong software engineering fundamentals for production-level integration.
• Knowledge of ML infrastructure needs, including CPU/GPU and networking.
• Experience with A/B testing and data-driven optimization.

Key Skills

Education

Any Gradute