Machine Learning Engineer

📋 Description

• Design, develop, and implement ML models and algorithms.
• Build scalable ML pipelines for data ingestion and deployment.
• Expose models as APIs and integrate with existing systems.
• Collaborate with data scientists, engineers, and PMs.
• Evaluate models and iterate to improve performance.
• Monitor deployed models in production and troubleshoot issues.

🎯 Requirements

• Master's in CS/ML or higher with 3+ years exp.
• Hands-on experience deploying ML models in production.
• Strong Python and ML libraries: TensorFlow, PyTorch, scikit-learn.
• Data preprocessing, feature engineering, visualization.
• SQL/NoSQL, Spark, Hadoop knowledge.
• Cloud ML services on AWS/Azure/GCP.
• Git, CI/CD, and software development practices.
• Excellent communication and collaboration skills.