Machine Learning Engineer

Job Description

As a Machine Learning Engineer, you'll be at the forefront of developing advanced AI systems. You will work closely with data scientists and software engineers to design, develop, and maintain machine learning models and algorithms that provide actionable insights and improve our products.

Responsibilities

• Lead the development of advanced machine learning projects.
• Gather and preprocess data for training purposes.
• Evaluate model performance and apply improvements.
• Share insights and strategies with the wider engineering team.
• Assist in preparing project documentation and reports.
• Engage with stakeholders to align ML projects with business goals.

Requirements

Education

• Bachelor's degree in Mathematics, Computer Science, or related field
• Master's degree in Data Science or related field is preferred

Experience

• 4+ years of industry experience in machine learning or data analysis

Technical Skills

• Python
• Deep Learning

Soft Skills

• Project Management
• Adaptability

Certifications

• Google Cloud Certified – Professional Data Engineer
• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Knowledge of Reinforcement Learning: Experience with reinforcement learning methodologies and applications.
• Experience in Docker and Kubernetes: Familiarity with container orchestration for deploying ML models.

Benefits

• Comprehensive health insurance
• Professional development budget
• Annual bonuses based on performance
• Access to cutting-edge technology tools

Company Culture

• Continuous Learning: We promote ongoing learning and professional development for all team members.
• Supportive Atmosphere: We foster a supportive workplace where all ideas are valued and growth is encouraged.