Responsibilities
- Process high-volume streams of customer data for insights and model training
- Design, develop, test, and deploy machine learning models into production environments
- Engage across multiple business areas relevant to your expertise
- Collaborate on ideation sessions to address real-world problems with innovative solutions
- Participate in peer reviews of system design and code contributions
- Stay current with advancements and emerging practices in machine learning
Benefits
- Complimentary subscription to takealotMORE
- Open, inclusive work culture that encourages spontaneous collaboration
- Flexible remote or hybrid work options to suit personal preferences
- Access to a structured mentorship program led by experienced professionals
- Opportunities to connect and learn through a global tech network via Naspers Tech Community
- Free access to online learning platforms including MyAcademy, Udacity, and Coursera
- Regular team social events such as outdoor hikes and mini golf outings
- Exclusive employee discount across a wide range of product categories
- Paid leave on your birthday to celebrate your special day
- Provision of up-to-date tools and technologies to support effective work
- Free, confidential access to counseling, legal advice, and financial planning services
- Modern tech stack including Python, AWS, Kafka, Redis, Docker, Kubernetes, and IoT/MQTT protocols
Work Arrangement
Hybrid — remote, home
Team
Reports to the Machine Learning Engineering Manager
Tech stack (for days)
Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT and all things machine learning. If you build it, they will come.
Free parking
No more 5km fun runs to your desk (unless you want to).
