ML Engineer III

Junglee Games is part of Flutter Entertainment, the world’s leading iGaming and sports entertainment group listed on the New York Stock Exchange (NYSE: FLUT). We operate independently in India while leveraging Flutter’s global expertise across product, technology, and responsible gaming.

Junglee Games is a technology-led entertainment powerhouse building safe, intelligent, and immersive gaming ecosystems that delight millions daily. Founded in San Francisco in 2012, we are revolutionizing the player experience by treating trust, safety, and fairness as engineering priorities. We specialize in building scalable platforms across a diverse portfolio of competitive and social genres including Ludo, Carrom, Solitaire, Rummy, Poker, Teen Patti, Pool, Quizzes and Tamboola.

By marrying tech and deep data science with a passion for community, we have turned technology into our unfair advantage. Our focus on platform thinking allows us to deliver seamless, responsible, and culturally relevant experiences at a global scale.

Joining Junglee Games means working at the intersection of India’s fast-growing gaming ecosystem and joining Flutter Entertainment’s global talent community, shaping the future of digital entertainment. Beyond gaming, Junglee Games represents a culture defined by technological ingenuity and strong values. We are committed to shaping the next generation of responsible leaders and redefining what it means to be a tech-first entertainment leader in a digital-first world.

Job Overview

We are looking for a Machine Learning Engineer with strong Classical ML, Deep Learning modelling skills and hands-on experience taking models to production at scale. The role focuses on data science and applied ML, with exposure to ML engineering, Databricks, and cloud-based model serving.

Job Location

Gurgaon/Bangalore

Key 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

Qualifications & Skills Required

• 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

Be a part of Junglee Games to:

Value Customers & Data - Prioritize customers, use data-driven decisions, masterKPIs, 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.