AI/Machine Learning Engineer

AI/Machine Learning Engineer

Remuneration: R800000 – R900000 per year Cost to company 
Location: Johannesburg
Type: Permanent
Reference: #KB49303
Company: E-Merge IT Recruitment


Job description

Are you a bright and passionate machine learning specialist looking for an opportunity to advance your career? If you are a team player who strives for engineering and technical excellence and enjoys bringing innovation in a fast-paced environment, we have a perfect job for you!

This is a great opportunity for a leading neural networks, robotics, and AI solutions development company that spans across industry verticals.

Reference number for this position is KB49303 which is a permanent position based in JHB North offering a cost to company salary of R800,000 to R900,000 per annum  negotiable on experience and ability. Contact Kavisha Bissessar on .

Are you ready for a change of scenery? E-Merge IT Recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the E-Merge website for more great positions.

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals: 
Referral Programme


Requirements

Your profile:
  • Honours or degree in computer science, engineering, mathematics, or statistics.
  • Skilled in computer science fundamentals and programming.
  • Previous experience working as a machine learning engineer, or in a similar position.
  • Experience with machine learning frameworks, libraries, and Agile environments
Your areas of expertise:
  • Data modelling and evaluation
  • Software engineering and systems design.
  • AI, machine learning, and optimisation algorithms.
  • Probability and statistics.
  • Auto machine learning.
Overview of the role:
  • Building out our adaptive learning capabilities and algorithms in conjunction with our data scientists.
  • Create machine learning systems using analytics, performance, and monitoring, running tests, and experiments as required.
  • Implementing changes and updates dependent on tests and analysis accordingly.
  • Implement machine learning engineer frameworks and initiatives.


Posted on 10 Jun 09:27

Apply
Kavisha Bissessar

011 463 3633


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