ML Engineer

Job Description

As an ML Engineer, your role will center on designing, implementing, and maintaining machine learning systems and infrastructure. Collaborate with a cross-functional team to create solutions that enhance performance and efficiency, transforming raw data into actionable insights.

Responsibilities

• Conduct data mining and preprocessing to prepare data for ML tasks.
• Develop data-driven prototypes and proof-of-concept applications.
• Stay updated with industry trends and advancements in ML techniques.
• Collaborate on cross-functional teams to tackle data challenges.

Requirements

Education

• Master's degree in Data Science or related field

Experience

• 5+ years of relevant experience in machine learning

Technical Skills

• R
• SQL

Soft Skills

• Innovation

Certifications

• Kaggle Competition Certification

Languages

• English: Fluent

Advantageous

• Experience with Docker: Hands-on experience with containerization of applications.
• Knowledge of DevOps practices: Familiarity with CI/CD practices for data science workflows.

Benefits

• Comprehensive health insurance
• Professional development budget
• Remote work flexibility
• Team retreats and bonding events

Company Culture

• Growth-Oriented: We aim to provide ample professional growth opportunities and encourage continuous learning.
• Respect and Inclusion: We uphold principles of respect and inclusion in our work environment.