Machine Learning Engineer

Job Summary

2+ years of experience in machine learning engineering.

Responsibilities

• Design and implement ML models for classification, prediction, and recommendation
• Build end-to-end ML pipelines from data ingestion to model deployment
• Perform feature engineering, model selection, and hyperparameter tuning
• Deploy and monitor ML models in production environments
• Collaborate with data engineers and product teams
• Research and implement state-of-the-art ML techniques
• Design, train, and deploy machine learning models to solve real-world business problems at scale

Requirements

• Strong proficiency in Python, scikit-learn, TensorFlow, or PyTorch
• Experience with ML deployment tools (MLflow, Docker, Kubernetes)
• Solid understanding of statistics, linear algebra, and probability
• Experience with cloud platforms (AWS SageMaker, GCP Vertex AI)
• Masters degree in CS, Statistics, or related field preferred