Lead AI/ML Engineer - GCP

Role : GCP Tech Lead - AI/ML

Location : Canada - Remote

Duration: Contract

Responsibilities

• Develop AI/ML strategies, defining architecture and best practices for developing and deploying AI systems on Google Cloud.
• Lead the design of scalable production-grade AI solutions, including Generative AI, multi-agent orchestration, and computer vision models on Vertex AI.
• Use Google Cloud's AI suite, including Vertex AI, Gemini models, BigQuery ML, Dataflow, and TPU/GPU hardware for training and inference.
• Guide team members on Python, TensorFlow/PyTorch, API integrations, and CI/CD pipelines.
• Ensure scalability, security, and performance of AI/ML models in production, adhering to MLOps best practices.
• Partner with business units and external clients to translate requirements into technical solutions.

Required Qualifications

• Bachelor’s or Master's degree in Computer Science, AI, or a related technical field.
• 6+ years of experience with cloud platforms, with strong emphasis on Google Cloud Platform and its AI/ML services.
• Deep understanding of AI frameworks (TensorFlow, PyTorch, Scikit-learn), neural network architectures, and agentic workflows.
• Expert-level Python programming, including experience with Data Science libraries.
• Proven experience leading technical teams, setting team priorities, and driving complex projects from development into production.
• Familiarity with Docker, Kubernetes (GKE), and CI/CD tools.

Preferred Qualifications

• Professional Machine Learning Engineer Certification (Google Cloud).
• Experience building and deploying large-scale infrastructure and distributed systems.
• Experience in AI application in sectors such as Financial Services, Healthcare, or High-Tech (Semiconductors).