Senior Machine Learning Engineer

Senior Machine Learning Engineer – ML Platform (Feature Engineering)

We’re hiring a Senior Machine Learning Engineer to help build large-scale ML infrastructure powering products used by millions of people worldwide.
You’ll join a platform team responsible for enabling reliable, scalable and fast machine learning development across multiple product domains. This role focuses on feature engineering, ML pipelines, and production-grade model infrastructure.
This is a hands-on engineering role with high ownership and real impact.

What You’ll Do

• Design and build scalable ML frameworks end-to-end
• Develop feature pipelines and feature stores
• Improve reliability and performance of ML systems
• Implement MLOps and CI/CD best practices
• Support model training, serving and evaluation workflows
• Work with large-scale distributed data processing
• Collaborate with product managers and engineers across teams
• Evaluate and integrate cloud and third-party ML solutions

What We’re Looking For

• 5+ years in Machine Learning Engineering (8–10 total experience preferred)
• Strong Python programming skills
• Production ML systems experience
• Experience with feature engineering and data pipelines
• Cloud ML platforms (e.g. SageMaker or equivalent)
• PySpark / distributed processing
• Experience deploying and maintaining models in production
• Understanding of experimentation & model evaluation

Tech Stack
Python • PySpark • Airflow • Snowflake/MySQL
TensorFlow / PyTorch / LightGBM / scikit-learn
CI/CD • MLOps • A/B testing

Nice To Have

• Streaming frameworks (Flink)
• Multi-cloud experience (AWS/GCP)
• Scala/Java knowledge
• Causal inference