JOB DESCRIPTION
Key responsibilities:
- Establish and scale a world-class Data Science team from scratch.
- Define the vision, strategy, and roadmap for AI/ML capabilities in a competitive gaming market.
- Build ML models that directly impact product innovation, marketing, player retention, and operational efficiency.
- Work with C-level executives to shape the AI strategy that gives the company a clear market advantage.
- Hands-on development of end-to-end AI/ML products, from data preprocessing to production deployment.
- Ensure models are production-ready, scalable, and continuously optimized.
- Lead the design of real-time and batch ML models that optimize marketing, CRM, pricing, fraud detection, and player behavior analytics.
- Establish best practices in MLOps (CI/CD, model monitoring, retraining pipelines, and automation).
- Work with Docker, Kubernetes, Airflow, MLflow, and cloud-based ML services (AWS/GCP/Azure).
- Experience with Snowflake and Snowflake ML is a strong advantage.
- Identify high-value AI use cases that maximize revenue, optimize player experience, and drive operational efficiency.
- Champion AI-driven decision-making, experimentation, and A/B testing across the organization.
- Work cross-functionally with marketing, product, and CRM teams to drive AI adoption and maximize business impact.
- Translate complex AI/ML concepts into clear, actionable insights for non-technical stakeholders.
- Inspire, mentor, and grow a team of Data Scientists & ML Engineers to world-class standards.
- Cultivate a culture of innovation, experimentation, and continuous learning.
- Engage with C-level executives, product teams, and engineers to align AI solutions with business goals.
- Turn BrainRocket into an AI powerhouse that dominates in a competitive gaming space.
Requirements:
- Bachelor’s/Master’s/PhD in Computer Science, Data Science, AI, or a related field.
- Proven experience in hands-on full-cycle AI/ML product development – from prototyping to deploying models at scale.
- Strong expertise in machine learning, deep learning, NLP, reinforcement learning, and time-series forecasting.
- Hands-on experience with Python, R, TensorFlow, PyTorch, and ML frameworks.
- Proficiency in SQL, data processing frameworks (Spark, Hadoop), and cloud-based ML solutions.
- Experience in ML Ops, automation, model versioning, monitoring, and CI/CD for ML pipelines.
- Experience with Snowflake and Snowflake ML (advantageous).
- Ability to bridge technical and business teams, explaining complex concepts in simple, impactful ways.
- Experience in fast-paced, high-scale environments, ensuring ML solutions deliver real business impact.
Salary
Competitive
Monthly based
Location
Gourri, Cyprus, Cyprus
Job Overview
Location
Gourri, Cyprus, Cyprus
