The Machine Learning Engineer will develop, deploy, and maintain machine learning solutions for business applications.
Responsibilities:

• Develop and train machine learning models.
• Prepare and transform datasets for model development.
• Evaluate and optimize model performance.
• Deploy ML models into production environments.
• Develop APIs and services for model integration.
• Monitor model performance and data quality.
• Collaborate with data scientists and software engineers.
• Document models, experiments, and technical processes.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
• 2+ years of experience in machine learning or software engineering.
• Strong Python programming skills.
• Experience with Scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SQL and data processing.
• Understanding of ML lifecycle and model deployment.
• Strong problem-solving skills.