ML Engineer

Job Description

As an ML Engineer, you will work closely with our data science team to create machine learning models that enhance our products and services. If you're passionate about AI and enjoy tackling complex challenges, we want to hear from you!

Responsibilities

• Develop scalable machine learning models for various applications.
• Work closely with product managers to align ML solutions with business needs.
• Conduct experiments to validate models and optimize algorithms.
• Collaborate on data preprocessing and feature engineering.
• Present findings and updates to stakeholders and team members.
• Contribute to the development of training materials and resources.
• Assist in troubleshooting and resolving ML-related issues.
• Engage in continuous learning to evolve skills and expertise.

Requirements

Education

• Bachelor's degree in a relevant field
• Master's degree preferred

Experience

• Experience in advanced machine learning techniques is advantageous

Technical Skills

• R
• Keras

Soft Skills

• Critical thinking

Certifications

• Google Professional Data Engineer
• Machine Learning Course by Andrew Ng

Languages

• English: Fluent

Advantageous

• Prior experience in a tech start-up: Familiarity with the fast-paced and agile environment of tech startups.
• Knowledge of reinforcement learning techniques: Integration of reinforcement learning in ML projects is a plus.

Benefits

• Medical, dental, and vision plans
• Performance bonus opportunities
• Flexible working hours
• A culture of innovation and collaboration

Company Culture

• Growth: We prioritize nurturing our employees' growth through ongoing training and development opportunities.
• Work-Life Balance: We recognize the importance of work-life balance and support flexible schedules.