ML Engineer III

Reposted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
News + Entertainment • Sports • Esports
The Role
The ML Engineer III will build, train, and optimize models, perform data processing, productionize models using Databricks, and monitor performance in AWS environments.
Summary Generated by Built In
ML Engineer IIIML Engineer
About Junglee Games

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.

With over 150 million users, Junglee Games is a leader in the game-tech space. Founded in San Francisco in 2012, we are revolutionising how people play games. Our notable free-to-play titles include Howzat, Junglee Rummy, and Junglee Poker, built to deliver engaging, scalable, and trusted gaming experiences.

Our team brings a deep global pedigree—having worked on internationally acclaimed AAA titles such as Transformers and Star Wars: The Old Republic, and contributed to iconic Hollywood productions including Avatar. Junglee Games’ mission is to build entertainment for millions of players worldwide and connect them through games. 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 driven by innovation, data science, cutting-edge technology, and strong values, shaping the next generation of responsible leaders.

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.

Top Skills

AWS
Databricks
Docker
Kubernetes
Pyspark
Python
SQL
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The Company
Dublin
4,381 Employees

What We Do

We’re Flutter International, a global sports betting, gaming and entertainment provider. We operate some of the world’s most innovative, diverse and distinctive brands, including PokerStars, Betfair International, Adjarabet, Junglee Games, Sisal and Singular. Our vision is to be the player's champion, wherever they play, and that’s #MadePossibleBy the people in our teams. If you’re ready to champion play, champion empowerment, and champion teamwork, then we could have the perfect role for you. With five million customers around the world, it’s a fast-paced environment, but we really do have something for everyone. Are you ready to discover a world of possibilities? Take a look at our openings in the Jobs tab and apply today.

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