Machine Learning Engineer

Job Description

We are looking for a Machine Learning Engineer with a solid understanding of machine learning methodologies and the ability to translate business problems into data-driven solutions. You will have the chance to work on innovative projects and enhance your skill set within our supportive and forward-thinking team.

Responsibilities

• Develop and enhance existing machine learning models.
• Collaborate closely with product managers and stakeholders to identify opportunities for ML solutions.
• Implement state-of-the-art machine learning methodologies tailored to our needs.
• Monitor and maintain ML systems in a production environment.
• Analyze model outcomes and iterate on designs based on feedback.
• Assist in mentoring junior engineers and interns in machine learning best practices.
• Participate in technical discussions to drive innovation and improvements.
• Engage with the community to share knowledge and learn from peers.

Requirements

Education

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

Experience

• 4+ years of experience in machine learning and AI systems

Technical Skills

• Deep Learning
• Natural Language Processing (NLP)

Soft Skills

• Collaboration
• Creativity

Certifications

• Google Cloud Certified - Professional Machine Learning Engineer
• IBM Data Science Professional Certificate

Languages

• English: Fluent
• Zulu: Basic

Advantageous

• Familiarity with Docker and containerization: Experience with containerization tools to streamline the deployment of ML applications.
• Background in software development practices: Understanding of agile methodologies and CI/CD pipelines.

Benefits

• Comprehensive health benefits and wellness programs
• Generous leave policies and work-life balance initiatives
• Access to training and conferences
• Employee recognition programs and team-building activities

Company Culture

• Continuous Learning: We promote a culture of continuous learning and professional development, offering resources and support for personal growth.
• Supportive Environment: Our supportive environment encourages open communication and teamwork, enabling everyone to succeed.
• Community Engagement: We actively engage with the local community, contributing to societal well-being through various initiatives.