ML Engineer III
Flutter International
full-time
Posted on:
Location Type: Office
Location: Gurgaon • India
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About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Classical MLDeep learningTransformer-based modelsEDAfeature engineeringmodel evaluationPySparkbatch inferencereal-time inferenceAWS
Soft skills
collaboration