Machine Learning Engineer

Job Description

Join our team as a Machine Learning Engineer, where you will have the opportunity to work on exciting AI projects that solve real-world problems. You will conduct experiments, evaluate models, and leverage data to improve machine learning performance. The ideal candidate will demonstrate solid experience in model development and have a strong foundation in statistics.

Responsibilities

• Research state-of-the-art machine learning algorithms.
• Maintain documentation for machine learning processes and models.
• Assess new data sources and explore their utilization for model enhancement.
• Participate in code reviews to maintain software quality.
• Actively contribute to team brainstorming sessions to improve processes.
• Train and mentor junior engineers in machine learning techniques.

Requirements

Education

• Bachelor's degree in Engineering, Computer Science, or related discipline
• Master's degree in a related field is a plus

Experience

• 4+ years of professional experience in machine learning

Technical Skills

• R Programming
• Keras
• Big Data Technologies

Soft Skills

• Problem Solving
• Effective Communication

Certifications

• Google Cloud Professional Data Engineer
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience with Docker and containerization: Familiar with container technologies for deploying models.
• Knowledge of best practices in model deployment: Awareness of CI/CD pipelines and MLOps methodologies.

Benefits

• Comprehensive health insurance
• Paid time off and holidays
• Ongoing training and career advancement support
• Dynamic and collaborative work culture

Company Culture

• Diversity and Inclusion: We value diversity and strive for an inclusive culture.
• Work-Life Balance: We support work-life balance and employee well-being.
• Community Impact: We actively participate in community and social initiatives.