Machine Learning Engineer

Job Description

We are seeking a Machine Learning Engineer to join our dynamic team in Cape Town. In this role, you will be responsible for designing and implementing machine learning models and algorithms to automate complex processes. The ideal candidate will have a strong foundation in statistics, programming, and a passion for AI. You will work collaboratively with a team of data scientists and engineers to devise innovative solutions.

Responsibilities

• Architect scalable ML pipelines that integrate seamlessly with existing systems.
• Apply latest AI research to practical applications in business.
• Evaluate and optimize model performance through rigorous testing.
• Engage with clients to understand business requirements and translate them to ML tasks.
• Promote a culture of continuous learning and innovation within the team.

Requirements

Education

• Bachelor's degree in Machine Learning or Computer Science
• PhD in relevant field is preferred

Experience

• 5+ years of experience in machine learning, including model building and deployment

Technical Skills

• Deep Learning
• Data Engineering

Soft Skills

• Project management
• Problem-solving

Certifications

• Advanced Machine Learning Specialization
• Data Scientist Certification

Languages

• English: Fluent

Advantageous

• Experience with reinforcement learning: Understanding of reinforcement learning concepts and applications.
• Knowledge of big data technologies (Spark/Hadoop): Experience working with big data tools for data manipulation.

Benefits

• Attractive salary package with additional perks
• Comprehensive health coverage plans
• Flexible work options and a great team culture
• Investments in employee training and professional growth

Company Culture

• Continuous Learning: We foster an environment that encourages learning and personal development through training sessions and collaborative projects.
• Work-life Balance: We respect the importance of work-life balance and offer flexible workloads to promote well-being.
• Empowerment: We empower our employees to take ownership of their projects and make impactful decisions.