Engineer: Machine Learning Software Engineer
Position summary
Introduction
Job description
· Conduct research into machine learning applications (reinforcement learning, supervised and unsupervised ML) in the minerals processing industry;
· Ensure that projects are executed on time and within budget;
· Play a leading role in research projects and the development of products from that research;
· Actively participate in the training, guidance and motivation of junior staff. Participate in team debates and technical decisions;
· Produce professional reports, papers and presentations at local and international conferences;
· Conceptualise, design, execute, analyse and troubleshoot independently;
· 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)
- Academic writing, ability to present (evidenced by publication record)
- English-speaking
- 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. An M.Sc or PhD in a machine learning field is preferred.
- 2 years vocational experience following first graduation (BSc Hon/BEng).
- C , C# or VB.NET experience a bonus.
COMPETENCIES:
· Communication and presentation skills
· Numerical and quantitative skills
· Self-driven
· People skills
· Ability to multi task
· Ability to get things done
· Ability to lead by example
- Advanced Process Control and Process Modelling is advantageous
Mintek is an equal opportunity, affirmative action employer, whose aim is to promote representivity in all levels of occupational categories