AI / ML Engineer - Specialist

What You'll Do

• Design, develop and deploy agent-based AI systems using LLMs
• Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference.
• Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks.
• Collaborate with cross-functional teams to integrate knowledge base into agent frameworks.
• Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP)
• Implement version control strategies using Git, manage code repositories and ensure best practices in code management.
• Develop, manage CI / CD pipelines using Jenkins or other relevant tools to streamline deployment and updates.
• Monitor, evaluate, and improve model performance post- deployment on Google Cloud.
• Communicate technical findings and insights to non-technical stakeholders.
• Participate in technical discussions and contribute to strategic planning.

What Experience You Need

What Could Set You Apart

Skills Required

BigQuery, Jenkins, Git, MLops, Python