Machine Learning Engineer

Design, train, and deploy machine learning models at production scale

• Build feature engineering pipelines and maintain feature stores

• Develop model evaluation frameworks and monitor production model performance

• Collaborate with data scientists to productionize experimental models

• Build and maintain ML infrastructure - training pipelines, serving layers, and registries

• Research and evaluate new ML techniques applicable to recruitment advertising

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or XGBoost)

• Experience with end-to-end ML pipelines from data ingestion to model serving

• Familiarity with ML platforms (SageMaker, Vertex AI, MLflow, or Kubeflow)

• Solid understanding of supervised, unsupervised, and reinforcement learning fundamentals

• Experience with feature stores, model versioning, and experiment tracking

• Strong software engineering skills - writing clean, tested, production-grade ML code