Machine Learning Engineer - Confie

Key Responsibilities

• Design, implement, and train machine learning models for classification, regression, and forecasting tasks.
• Develop data pipelines and preprocessing workflows to ensure high‑quality training data.
• Deploy models to production environments on AWS, monitoring performance and scaling as needed.
• Collaborate with cross‑functional teams to integrate ML solutions into existing products and services.
• Conduct experiments, perform hyperparameter tuning, and document results to drive continuous improvement.

Requirements

• Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Solid understanding of statistical modeling, feature engineering, and model evaluation techniques.
• Hands‑on experience with cloud platforms (AWS) and containerization tools for model deployment.
• Ability to build and maintain data pipelines using tools like Apache Airflow, Spark, or similar.
• Excellent problem‑solving skills and ability to work independently in a remote or hybrid setting.