Levy Professionals
AI Platform Engineer
Description
As an AI Platform Engineer within the domain, you will play a key role in building and evolving the bank’s central AI platform. This platform underpins AI and data science initiatives across the organization, enabling teams to develop, deploy, and scale machine learning solutions in a secure, compliant, and efficient manner.
You will work closely with AI engineers, data scientists, and platform teams to deliver robust, reusable capabilities that accelerate AI adoption across the bank. The focus is on creating scalable platform services, improving developer experience, and ensuring production-grade AI solutions.
Key Responsibilities
- Design, build, and enhance central AI platform capabilities used by multiple AI teams
- Develop and maintain reusable platform services for model development, deployment, and monitoring
- Enable and support AI teams in engineering best practices, tooling, and platform usage
- Collaborate with data scientists and ML engineers to productionize machine learning models
- Improve platform reliability, scalability, and performance within a cloud-based ecosystem
- Contribute to automation, CI/CD pipelines, and MLOps practices
- Ensure compliance with security, risk, and regulatory standards within the banking environment
Required Skills & Experience
- Strong programming skills in Python
- Hands-on experience with Databricks (workflows, notebooks, clusters)
- Proven experience in AI/ML engineering or platform engineering environments
- Experience with MLOps practices (CI/CD, model deployment, monitoring)
- Familiarity with cloud platforms (e.g., Azure, AWS, or GCP)
- Experience working in complex, regulated environments is a plus
Nice to Have
- Experience building internal developer platforms or shared services
- Knowledge of containerization (Docker, Kubernetes)
- Understanding of data engineering concepts (ETL pipelines, data workflows)
- Exposure to model lifecycle management and governance
Working Environment
You will be part of a central platform team, working in a highly collaborative and international environment. The team plays a critical role in enabling the bank’s AI strategy and works closely with multiple stakeholders across data, engineering, and business domains.
