Principal Data Scientist

Summary

Join Kaizen Gaming, a leading GameTech company, as a Principal Data Scientist and play a critical role in leveraging data and AI to drive value and create a competitive advantage. You will architect scalable AI applications, tech-lead the AI tribe, mentor fellow data scientists, and pioneer the application of emerging AI technologies. The role involves strategic planning, prioritization, and end-to-end ownership of high-complexity projects. You will need extensive experience in building ML/DL models using Python and a deep understanding of the ML development lifecycle. This position offers a hybrid work model and remote options, along with competitive pay, bonuses, private health insurance, and professional development opportunities.

Requirements

• 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python
• PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning
• A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step
• Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production
• Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight

Responsibilities

• Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms
• Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production
• Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth
• Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry
• Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value
• Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome

Preferred Qualifications

• Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models
• Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases

Benefits

• Hybrid way of working & remote options
• Competitive pay and bonus scheme
• Private health insurance for you and your family
• Monthly meal allowance
• Developmental 360° feedback framework
• Unlimited access to Udemy & continuous training