ai / machine learning engineer.

You will participate in the development and operation of next-generation AI/ML platforms, ensuring their security, performance, and reliability. Additionally, you'll help design solutions that align capabilities with key business challenges.

about the job.

• Contribute to the development of AI/ML platforms, including monitoring, logging, and deploying proprietary, open-source, or in-house applications
• Develop services and integrate them with internal and external APIs
• Identify and evaluate new technologies to enhance performance, maintainability, and scalability of infrastructure
• Provide visibility into the structure, state, and performance of the AI/ML platform
• Collaborate closely with Architects, Platform Engineers, and Product Owners to deliver software in a continuous delivery environment
• Partner with data scientists and business stakeholders to assist in the development and deployment of analytics and machine learning models

• At least 3 years of experience in AI/ML platform development
• Expertise in software engineering and system design; hands-on programming in Python
• Experience with DataOps/MLOps in a large-scale enterprise environment; preferably deliver large-scale data infrastructure projects (100 TB)
• Experience in public cloud solutions e.g. AWS / Azure / AliCloud
• Familiarize with the following technology stack:
• Infrastructure: Docker, Terraform, Kubernetes
• AI/ML Platform: Jupyter, MLflow, Ray
• Data Engineering: Airflow, Spark
• CICD Suite: Jenkins, JIRA, Sonar, Git, Ansible
• Test Framework: jMeter, jUnit, PyTest
• Collaborate effectively in an international team, with a solid grounding in financial services as a plus
• Excellent communication skills and data-driven thinking capabilities
• Manage teams and solve problems; be self-motivated, creative, and demonstrate a proven track record in developing and driving firm-wide initiatives