Candidate Engineer: Machine Learning Software Engineer
Listing reference: minte_000106
Listing status: Closed
Apply by: 2 August 2023
Position summary
Industry: Mining & Quarrying
Job category: Engineering, Technical, Production and Manufacturing
Location: Randburg
Contract: Permanent
Remuneration: Market Related
EE position: Yes
Introduction
Mintek has an exciting opportunity for a Graduate Engineer to research and develop innovative and practical artificial intelligence solutions for the minerals processing industry. The engineer will work with the software team, contributing to the development of new products for the South African and global minerals and metals industry.
Job description
KEY PERFORMANCE INDICATORS:
- Conduct research into machine learning applications (reinforcement learning, supervised and unsupervised ML) in the minerals processing industry as part of a team;
- Contribute to the development of products from their research.
- Ensure that projects are executed on time and within budget;
- Participate in team debates and technical decisions;
- Produce professional reports, papers and presentations at local and international conferences;
- Conceptualise, design, execute, analyse and troubleshoot under supervision;
- Ensure that SHEQ procedures are strictly adhered to and that project work is executed with maximum overall technical efficiency;
- Identify opportunities for technology development and commercialisation; and,
- Keep up-to-date at a professional level with technology and business developments that are relevant to the division’s interests.
Minimum requirements
QUALIFICATIONS AND EXPERIENCE
- The following skills are required for this role:
- Machine learning (supervised and unsupervised machine learning)
- Python programming language experience
- Suitable candidates must possess at least a B.Sc Hons or 4-year B.Eng degree and be willing to study further towards an M.Sc and PhD in a field aligned with Mintek’s research. M.Sc or PhD is preferred.
- C , C# or VB.NET experience a bonus.