Lead Data Scientist- GCP AI Lead

Role description

Position Title: AI Lead

Location: Canada

Job Summary

We are seeking a highly skilled AI Architect to lead the hands-on design, development, and implementation of our data and AI platforms on Google Cloud Platform (GCP) and Databricks. This is a practical, hands-on role requiring you to not only architect solutions but also to actively build, test, and deploy them. The ideal candidate will be a thinker with deep, demonstrable technical expertise in building and scaling end-to-end AI solutions, including Conversational AI and Agentic AI systems. You will play a critical, hands-on role in executing our data strategy, driving innovation, and enabling data-driven decision-making across the organization.

Key Hands-On Responsibilities:

Architecture & Design:

• Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance.
• Architect and design AI solutions built on Databricks and/or GCP Vertex AI, Gemini, etc.
• Design and prototype advanced AI systems, including conversational AI (chatbots, voice assistants) and autonomous agentic AI frameworks.
• Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices.

Engineering & Implementation:

• Build, test, and deploy conversational AI and agentic AI solutions, leveraging large language models (LLMs) and frameworks like Google's Vertex AI and open-source alternatives within the Databricks Platform.
• Personally build and deploy real-time streaming solutions using Structured Streaming to enable timely insights for AI models.
• Contribute to optimize initiatives of data and AI pipelines for performance, cost, and scalability, ensuring the efficient use of our cloud resources.

Cloud & Platform Expertise:

• Hands-on expert on both GCP and Databricks, providing practical guidance on best practices, security, and governance.

OTHER SKILLS WE'D APPRECIATE

• Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc.

EDUCATION QUALIFICATION

• Graduate in Engineering OR master’s in computer applications.

Process Skills:

• General SDLC processes
• Understanding of utilizing Agile and Scrum software development methodologies
• Skill in gathering and documenting user requirements and writing technical specifications.

Behavioral Skills:

• Good Attitude and Quick learner.
• Well-developed design, analytical & problem-solving skills
• Strong oral and written communication skills
• Excellent team player, able to work with virtual teams.
• Self-motivated and capable of working independently with minimal management supervision.

Certification:

• Having Machine Learning or AI certifications would be an added advantage.