Machine Learning Engineer

Job Description

As a Machine Learning Engineer, you will be responsible for developing predictive models and deploying machine learning algorithms in a production environment. Ideal candidates should have a strong background in mathematics, statistics, and programming with a keen interest in AI.

Responsibilities

• Build and maintain data pipelines for machine learning processes.
• Work closely with product teams to understand business requirements.
• Documentation of models and processes for knowledge sharing.
• Train and mentor junior engineers in best practices for machine learning.
• Participate in project planning and agile ceremonies.
• Foster an environment of continuous learning and collaboration among team members.

Requirements

Education

• Bachelor's degree in Data Science, AI, or similar field
• Master's degree in a relevant field is preferred

Experience

• 3+ years of experience in machine learning projects

Technical Skills

• R Programming
• Scikit-learn

Soft Skills

• Communication
• Adaptability

Certifications

• Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Knowledge of reinforcement learning: Understanding of reinforcement learning concepts and techniques.
• Experience with data visualization tools: Proficient in using tools like Tableau or Power BI for data analytics.

Benefits

• Comprehensive health insurance
• Retirement savings plan
• Ongoing training and skill development
• Work-life balance initiatives

Company Culture

• Continuous Learning: We offer various opportunities for skill development and continuous learning.
• Work-Life Balance: We believe in maintaining a healthy work-life balance for all our employees.
• Community Involvement: We encourage community service and involvement to give back to society.