Machine Learning Engineer

Job Description

As a Machine Learning Engineer, you will leverage cutting-edge technologies to build and optimise machine learning models that drive our AI initiatives. This position requires a blend of technical expertise and creativity to solve complex problems.

Responsibilities

• Prototype and develop machine learning models that meet business needs.
• Test and validate models to ensure they are robust and reliable.
• Collaborate on projects that require leveraging big data technologies.
• Represent the team in discussions regarding AI initiatives and objectives.
• Ensure compliance with best practices in AI and machine learning ethics.
• Participate in code reviews and contribute to the team’s knowledge base.

Requirements

Education

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• Postgraduate qualifications are a plus

Experience

• 4+ years of experience in machine learning projects

Technical Skills

• R
• Machine Learning Frameworks
• Big Data Technologies

Soft Skills

• Creative Problem Solving
• Adaptability

Certifications

• Certified Data Scientist
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Knowledge of Natural Language Processing (NLP): Experience in building NLP models for text analysis.
• Working with Docker containers: Experience in containerizing applications with Docker.

Benefits

• Comprehensive health coverage and wellness programs
• Pension fund with employer contributions
• Remote working options available
• Career growth and skill enhancement opportunities

Company Culture

• Diversity and Inclusion: We embrace a diverse workforce and are committed to inclusivity and equality.
• Continuous Learning: We value continuous learning and provide opportunities for professional development.
• Agile Mindset: We work in an agile environment that encourages flexibility and quick adaptation.