Senior Machine Learning Software Engineer

Summary

Join Kaizen Gaming, a leading GameTech company, as a Senior Machine Learning Engineer. You will be part of a dynamic AI department, collaborating with data scientists and engineers to build and deploy robust, scalable machine learning pipelines. This role involves designing and implementing model training and inference pipelines, automating deployments, and optimizing cluster performance. You will leverage your extensive experience in Python, cloud environments (Azure or AWS), Spark/PySpark, and MLOps. Kaizen offers a competitive salary, bonus scheme, hybrid work model, and various benefits including health and life insurance, meal allowance, and professional development opportunities.

Requirements

• Extensive experience in software development using Python in large scale, high-performance production environment
• Significant hands-on experience in designing ML software systems
• Significant experience with cloud environments like Microsoft Azure or AWS
• Hands-on experience with Spark and PySpark
• Excellent problem solving and communication skills
• Good understanding of Software system design
• Good understanding of The ML project lifecycle
• Good understanding of MLOps concepts and tools such as MLflow or Kubeflow
• Good understanding of ML algorithms and models

Responsibilities

• Collaborate closely with data scientists in order to deliver production-ready model training pipelines
• Design scalable solutions in a distributed environment
• Design scalable inference pipelines and architectures
• Implement model diagnostics such as evaluation, monitoring flows etc
• Automate model deployment, enable REST API model endpoints
• Develop scalable model serving flows
• Work on cluster optimization and scalability
• Develop and maintain internal tools and libraries
• Write CI/CD/CT pipelines

Benefits

• Hybrid model of working
• A buddy will support you with your onboarding
• Competitive salary package and bonus scheme
• Health and life insurance for you and your family
• Monthly meal allowance
• Developmental 360° feedback framework
• Unlimited access to Udemy & continuous training
• Commuting allowance