Senior Machine Learning Engineer

📋 Description

• Lead design and deployment of scalable ML systems in the cloud.
• Own end-to-end ML lifecycle: architecture, modeling, production, monitoring.
• Mentor engineers; influence product direction and strategy.
• Collaborate with product and engineering to align ML with business goals.

🎯 Requirements

• Bachelor's or Master's in CS/ML or related.
• 5+ years in ML engineering, data science, or data engineering.
• Python, SQL, PySpark; scikit-learn, PyTorch, XGBoost.
• Design robust ML pipelines; MLflow experience.
• ML frameworks: scikit-learn, TensorFlow, PyTorch, XGBoost.
• Cloud deployment: AWS, GCP, Azure, Databricks.
• End-to-end ML lifecycle: data, training, eval, deployment, monitoring.
• Excellent communication; cross-functional influence.

🎁 Benefits

• Comprehensive benefits: medical, dental, vision.
• Unlimited PTO.
• 401(k) with employer match.
• Collaborative, inclusive culture.