Engineer: Machine Learning III
Boardroom AppointmentsStellenbosch Local Municipality, Western Cape, South Africa
Posted January 5, 2026
Full Time
About the Company
Boardroom Appointments, founded in 1989, is a global talent solutions provider delivering recruitment, contract staffing, project staffing, temporary employment, training, HR consultancy, and expatriate mobility services across Africa, EMEA, the Americas, and Europe. Leveraging a deep industry focus that spans FMCG, finance, manufacturing, oil & gas, healthcare, logistics, IT, renewable energy, retail, agriculture, government, and call‑center services, the firm custom‑builds solutions that match each client’s unique talent needs. With a worldwide candidate database and a team of seasoned recruitment and HR professionals, Boardroom Appointments offers end‑to‑end services—from executive search and people analytics to payroll outsourcing and workforce management—ensuring seamless, high‑quality placements that let clients concentrate on their core business. Their distinctive value lies in a partnership model that blends industry expertise, data‑driven insights, and a culture of passion and professionalism to deliver flawless, long‑lasting results.
Job Description
Machine Learning Engineer III position available in Stellenbosch, South Africa. Seeking 4-6 years of experience in Machine Learning and Software Engineering with expertise in Python, SQL, and modern software development best practices.
Requirements
- 4 to 6 years Machine Learning and Software Engineering experience
- Strong analytical and problem-solving skills
- Expert in Python and SQL
- Experience with modern software development best practices
- Experience with microservice architectures
- Experience working in an agile team
- Experience with ML frameworks and tools
- Experience with modern ETL, compute and orchestration frameworks
- Development experience in both Windows and Linux
- Experience with container technologies
- Experience in building machine learning or AI systems
- Proficiency in R language
- Experience deploying models to production
- Experience building distributed systems
- Experience with NoSQL databases
- Experience working with ML platforms
- Experience working with Data Science platforms
- Experience with cloud-based infrastructure