Machine Learning Engineer developing and optimising ML models at Junglee Games. Working on data processing, model productionisation, and collaboration with engineering teams.
Responsibilities
Build, train, and optimise Classical ML, Deep learning and Transformer-based models.
Perform EDA, feature engineering, and model evaluation on large datasets.
Use PySpark for large-scale data processing and feature computation.
Productionize models using Databricks (MLflow, Model Registry, Model Serving).
Implement batch and real-time inference workflows.
Deploy and operate models on AWS-based environments.
Monitor model performance and data drift in production.
Collaborate with data engineering and platform teams.
Requirements
3–5 years of experience in Data Science / Applied ML
Strong Python and SQL
Solid understanding of ML algorithms and deep learning fundamentals.
Hands-on experience with PySpark.
Proven exposure to production ML systems.
Good to Have - Experience with Databricks Feature Store
Docker / Kubernetes basics
Benefits
Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes.
Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success.
Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic.
Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognising when to evolve to stay ahead.
Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving.
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