remote
Gen AI Engineer - Manulife
AI Engineer
Lead the design, build, and deployment of scalable data pipelines and generative AI models using Python, AWS, Docker, and Kubernetes to power intelligent applications and drive business outcomes.
About the role
Key Responsibilities
- Architect and develop end‑to‑end data pipelines that ingest, transform, and serve data for generative AI workloads.
- Design, train, and fine‑tune large language models and other generative AI solutions to meet business use cases.
- Deploy models and pipelines to production environments using Docker, Kubernetes, and AWS services, ensuring high availability and scalability.
- Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical specifications.
- Monitor model performance, implement A/B testing, and iterate on models to improve accuracy and efficiency.
Requirements
- Strong proficiency in Python and experience with data engineering tools (e.g., Spark, Airflow).
- Hands‑on experience with generative AI frameworks (e.g., Hugging Face, OpenAI APIs) and model deployment.
- Solid understanding of cloud platforms, preferably AWS, and container orchestration with Docker/Kubernetes.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Effective communication skills to explain complex technical concepts to non‑technical stakeholders.
Skills
pythongenerative aimachine learningawsdockerkubernetes