Machine Learning Engineer

We are looking for a talented Machine Learning Engineer to build and scale our ML infrastructure and deploy production-grade machine learning systems.

Key Responsibilities:

• Design and implement ML pipelines from research to production
• Optimize model performance, latency, and throughput
• Build MLOps infrastructure for model training, evaluation, and deployment
• Collaborate with data scientists to translate research into production systems
• Monitor model performance and implement retraining strategies

Requirements:

• 3+ years of ML engineering experience
• Strong Python skills with experience in TensorFlow or PyTorch
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker)
• Knowledge of distributed computing and containerization
• Experience with A/B testing and experimentation frameworks