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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.