Senior Machine Learning Engineer
Description
As a Senior Machine Learning Engineer at Kaizen Gaming, you will focus on delivering robust and scalable Machine Learning pipelines and supporting the operationalization of Machine Learning models. You will collaborate closely with data scientists, design scalable solutions in distributed environments, and implement model diagnostics. The role involves automating model deployment, developing scalable model serving flows, and working on cluster optimization and scalability. You will also develop and maintain internal tools and libraries, and write CI/CD/CT pipelines.
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
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
- The ML project lifecycle
- MLOps concepts and tools such as MLflow or Kubeflow
- ML algorithms and models
Benefits
- A buddy will support you with your onboarding
- Competitive pay & bonus scheme
- Developmental 360° feedback framework
- Family Support
- Hybrid way of working & remote options
- Monthly meal allowance
- Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD
- Private health insurance for you & your family
- Unlimited access to Udemy & continuous training
