Lets start with the role
At Kaizen we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizens AI department consists of product platform and research teams and lies at the core of that mission. We develop AI products for various applications ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations.
We structure our teams to be self-driven autonomous and cross-functional. Within these teams you will have the opportunity to work with Data Scientists Machine Learning Engineers Data Engineers Data Analysts Product Owners and Agile Delivery Leads.
As a Senior Machine Learning Software Engineer you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.
As a Senior Machine Learning Engineer your will:
- 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.
What youll bring
- 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;
- Solid understanding of:
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
- Hands-on experience with Spark and PySpark;
- Excellent problem solving and communication skills.
#Machine Learning (ML) #MLOps #AIOps #Software Engineering
Kaizen Gaming Perks
- 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
#LI-Hybrid
#LI-EL1
Required Experience:
Senior IC
Lets start with the roleAt Kaizen we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizens AI department consists of product platform and research teams and lies at the core of that mission. We develop AI products for various applications rangi...
Lets start with the role
At Kaizen we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizens AI department consists of product platform and research teams and lies at the core of that mission. We develop AI products for various applications ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations.
We structure our teams to be self-driven autonomous and cross-functional. Within these teams you will have the opportunity to work with Data Scientists Machine Learning Engineers Data Engineers Data Analysts Product Owners and Agile Delivery Leads.
As a Senior Machine Learning Software Engineer you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.
As a Senior Machine Learning Engineer your will:
- 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.
What youll bring
- 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;
- Solid understanding of:
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
- Hands-on experience with Spark and PySpark;
- Excellent problem solving and communication skills.
#Machine Learning (ML) #MLOps #AIOps #Software Engineering
Kaizen Gaming Perks
- 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
#LI-Hybrid
#LI-EL1
Required Experience:
Senior IC
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