Job Scope
As an AI/ML Platform Engineer, you will be involved in both the development and operation of next generation AI/ML Platforms and ensure they remain secure, performant, and reliable. You will also be involved in the design of other solutions, matching capabilities to priority business challenges.
 
 
Job Responsibilities 

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

 
Job Requirements 

• University Degree in computer science, software engineering, or related fields
• At least 3 years of experience in AI/ML platform development
• Experienced in software engineering and system design is a must
• Hands on programming skill in Python
• Experience with DataOps/MLOps in a large scale enterprise environment is preferable
• Experience in delivery of large scale data infrastructure (in scale of hundreds of TB) is preferable
• Experience in public cloud adoption (AWS, Azure, AliCloud) is preferable
• Experience in 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
• Experience in working in an international team, with solid grounding in financial service is a plus

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