Principal Data Scientist

Kaizen Gaming

Completely RemoteFull TimeEngineering & Architecture
Posted Today

Job description

About the Role

As a Principal Data Scientist at Kaizen Gaming, you will architect scalable AI applications, lead the AI tribe, and define the company-wide AI technical roadmap to drive innovation and business success.

What You'll Do

  • Architect scalable, high-performance AI applications and ML/DL algorithms.
  • Tech-lead the AI tribe to deliver state-of-the-art models in production.
  • Mentor data scientists to foster both technical and soft skill growth.
  • Define the company-wide AI technical and product roadmap in alignment with business goals.
  • Provide end-to-end ownership of high-complexity projects from ideation to operationalization and maintenance.

What We're Looking For

  • 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python.
  • PhD-level expertise in domains such as Recommendation Systems, NLP, Computer Vision, Time-series, Reinforcement Learning, or Graph Learning.
  • Deep understanding of the ML development lifecycle and optimization.
  • Proven track record of designing and scaling performant AI applications with MLOps practices.
  • Excellent communication and collaboration skills for technical guidance and stakeholder management.

Nice to Have

  • Expertise in genAI or agentic AI, including prompt design, optimization, and evaluation.
  • Familiarity with big data technologies like Apache Spark, Delta Lake, Apache Kafka, or Apache Flink.

What We Offer

  • Competitive pay and bonus scheme.
  • Private health insurance for you and your family.
  • Monthly meal and commuting allowances.
  • High-end hardware and equipment.
  • Continuous learning with unlimited Udemy access.
  • Family support and onboarding buddy program.

Skills & tools

PythonMachine LearningDeep LearningMLOpsNLPGenAIApache Spark

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 018+ years Python ML/DL experience
  2. 02PhD in AI-related domain
  3. 03MLOps expertise