Senior Machine Learning Engineer at 100networks

About the role

We're looking for a Senior ML Engineer to build production machine learning systems that impact millions of users. Key Responsibilities: - Design ML pipelines from training to production deployment - Build feature stores and real-time inference systems - Optimize model performance and reduce latency - Implement A/B testing frameworks for ML experiments - Collaborate with data scientists on model productionization Requirements: - 5+ years of ML engineering experience - Strong Python skills and ML frameworks (PyTorch, TensorFlow) - Experience with ML infrastructure (Kubeflow, MLflow, SageMaker) - Understanding of distributed training and model serving - Experience with feature engineering and data pipelines

Responsibilities

• ML pipelines
• Model deployment
• A/B testing

Requirements

• 5+ years ML engineering
• Production ML systems
• MLOps experience