Machine Learning Engineer

Job Description

As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models to enhance the efficiency of our operations. The ideal candidate will demonstrate proficiency in statistical analysis and a knack for problem-solving, ensuring our AI applications are not only effective but also sustainable and robust.

Responsibilities

• Prototype and iterate on machine learning applications and services.
• Mentor junior engineers and contribute to an innovative team culture.
• Engage in peer code reviews to uphold high coding standards.
• Translate business requirements into technical specifications for machine learning solutions.
• Participate in AI ethics discussions and contribute to responsible AI development.

Requirements

Education

• Bachelor's degree in Computer Science or a related field
• Master's degree in Data Science preferred

Experience

• 3+ years of hands-on experience in developing machine learning models

Technical Skills

• R
• Keras

Soft Skills

• Team Collaboration
• Adaptability

Certifications

• Google Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Experience with Docker: Hands-on experience with Docker for environment setup and deployment.
• Familiarity with API development: Experience in developing RESTful APIs for machine learning models.

Benefits

• Health, dental, and vision insurance
• 401(k) with a competitive company match
• Flexible work arrangements with hybrid options
• Continuous learning and development opportunities

Company Culture

• Diversity and Inclusion: We are committed to fostering a diverse and inclusive workplace.
• Empowerment: We empower our employees to take ownership of their work and be accountable.
• Work-Life Balance: We promote a healthy work-life balance and respect personal time.