Machine Learning Engineer - Predictive Modeling

What role you will play in team:Develop and deploy machine learning models to predict customer churn.

What you will do:You'll build and improve predictive models to better understand and predict customer behavior.

Key responsibility:

• Develop and implement machine learning models for predictive modeling
• Perform data cleaning, preprocessing, and feature engineering
• Evaluate model performance and identify areas for improvement
• Collaborate with other team members to build and deploy data-driven solutions
• Communicate technical concepts clearly and effectively to both technical and non-technical audiences

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Statistics, or a related field
• 1-3 years of experience in machine learning
• Proficiency in Python
• Experience with machine learning algorithms (regression, classification)
• Strong analytical and problem-solving skills

Benefits Included:

• Competitive salary and benefits package
• Opportunities for professional development and career advancement
• Collaborative and supportive work environment
• Health Insurance
• Paid Time Off

A Day in the Life:A typical day involves cleaning and preparing data, building and training models, evaluating model performance, and collaborating with other team members.