Senior Machine Learning Engineer

Reference: 10531 CM
Consultant: Christa Mostert

Job Description:

  • Develop and implement models that solve our users immediate needs.
  • Design and conduct experiments to evaluate the performance of these models in production, analyse the results, and iterate to improve their performance.
  • Know when to move fast, and when extra planning is required.
  • Write clean and maintainable code using best practices and industry standards.
  • Collaborate with various teams to understand project requirements, gather data, and integrate machine learning solutions into production systems.
  • Participate in code reviews and provide constructive feedback to team members.
  • Stay abreast of the latest developments in AI and ML, from research to tooling.
  • Communicate effectively with team members and stakeholders, providing regular updates/reports on project progress and identifying any potential risks or challenges

Qualifications:

  • Master’s, or Ph.D. degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience in machine learning, with demonstrated experience in developing and deploying machine learning models in real-world applications.
  • Experience working on products with large user bases.
  • Proficiency in Python, AWS (or related), CI-CD practices, REST-APIs, and concurrency.
  • Proficiency in deep learning frameworks such as PyTorch, and experience with distributed training methodologies.
  • Experience with Transformers and NLP is a bonus.
  • Strong understanding of machine learning techniques and methodologies.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment

How to Apply:

  • Email your comprehensive CV to exceedhr@exceed.co.za.
  • If you are already registered, please forward your CV and the relevant reference number to the consultant with whom you are currently registered in order to avoid duplicity on our system.
  • We reserve the right to only conduct interviews with candidates of choice.
  • Applicants who have not received feedback within 30 days from the closing date must please accept their application as unsuccessful.