Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
About the role
- Machine Learning Engineer at Junglee Games focusing on building and optimizing ML models in a gaming context. Collaborates with data engineering and platform teams to deploy models in AWS environments.
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.
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.
Job title
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