Description

Key Skills: Pyspark, Python, Vertex AI (Google), GCP, AWS Cloud, Cloud (AWS / Azure / GCP)

Roles and Responsibilities:

• Develop agentic AI workflows using Python, integrating LLM capabilities with tool/function calling and orchestration patterns.
• Build scalable data pipelines and feature preparation using PySpark for training, evaluation, and inference datasets.
• Deploy and manage AI solutions on Vertex AI, including model endpoints, batch/online inference, and experiment tracking.
• Design evaluation and monitoring approaches for agent behavior, quality, and reliability in production.
• Collaborate with engineering teams to integrate AI services with existing systems and ensure secure, performant operations.

Skills Required:

• 3 - 10 years of relevant experience in AI/ML engineering and data/ML platforms
• Python (agentic AI development, integrations, and production-grade services)
• PySpark (large-scale data processing and pipeline development)
• Vertex AI (Google) (deployment, inference, and model management)
• Scalable AI/ML pipeline engineering with strong testing and performance awareness

Good to Have:

• AWS Cloud and/or Azure experience
• GCP experience beyond Vertex AI
• Cloud exposure across AWS / Azure / GCP

Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Key Skills

Education

Any Graduate