remote
Senior Machine Learning Engineer - Manulife
ML Engineer
Lead design and deployment of AI solutions for document analytics, fraud detection, and workflow automation, leveraging Python, deep learning frameworks, LLMs, and cloud infrastructure.
About the role
Key Responsibilities
- Design, develop, and maintain image‑processing pipelines that improve operational workflows and fraud detection.
- Research, prototype, and integrate Large Language Model (LLM) agents to automate document processing, information retrieval, and analytics tasks.
- Deploy and scale AI services on cloud platforms, ensuring reliability, security, and performance.
- Collaborate with cross‑functional teams to translate business requirements into robust machine‑learning solutions.
- Mentor Data Scientists and junior engineers on best practices, code quality, and model governance.
Requirements
- 5+ years of professional experience in machine learning, computer vision, or natural language processing.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience building, fine‑tuning, and deploying LLMs or other generative AI models.
- Solid understanding of cloud services (e.g., AWS) and containerization tools like Docker.
- Proven ability to lead projects, mentor teammates, and communicate complex technical concepts to non‑technical stakeholders.
Skills
pythontensorflowpytorchawsdocker