Principal Machine Learning Engineer - AI Research

Placements24

Pretoria

Hybrid

ZAR 2.000.000 - 3.000.000

Vollzeit

vor 32 Stunden
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Benefits dieser Stelle

Salary package
Medical aid
Hybrid work model
Research infrastructure

Zusammenfassung

Placements24 is recruiting a Principal Machine Learning Engineer for a Pretoria based AI research division. You will lead design, development, and deployment of sophisticated ML systems, handling large datasets and cutting-edge models.

The ideal candidate has a PhD or MSc, 8+ years in ML, deep learning with TensorFlow or PyTorch, Python expertise, and proven production experience. You will mentor teams and collaborate across product and software teams in a hybrid work environment.

Qualifikationen

  • Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 8+ years of professional experience in machine learning engineering or a related role.
  • Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong proficiency in Python, with a solid understanding of data structures and algorithms.
  • Proven experience in developing and deploying ML models in production environments.
  • Expertise in NLP, computer vision, or reinforcement learning is highly desirable.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
  • Strong analytical and problem-solving skills.
  • Excellent communication and leadership abilities, with a track record of mentoring teams.

Aufgaben

  • Lead the design, development, and implementation of advanced machine learning models and algorithms.
  • Work with large, complex datasets, ensuring data quality and relevance for model training.
  • Develop and maintain scalable ML pipelines for training, evaluation, and deployment.
  • Research and integrate state-of-the-art ML techniques and tools into existing systems.
  • Collaborate with software engineers, data scientists, and product managers to deliver AI-powered solutions.
  • Mentor junior engineers and contribute to the technical vision of the AI research team.
  • Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
  • Optimize model performance for accuracy, efficiency, and scalability.
  • Communicate complex technical concepts to both technical and non-technical audiences.
  • Contribute to intellectual property generation through patents and publications.

Kenntnisse

Deep learning
Python programming
Leadership
Mentoring
Communication

Ausbildung

Master's or PhD in CS/AI/ML

Tools

TensorFlow
PyTorch
Keras
Spark
Hadoop
AWS

Jobbeschreibung

About the Role

Our client, a cutting-edge technology firm at the forefront of artificial intelligence research, is seeking an exceptional Principal Machine Learning Engineer to join their dedicated AI research division in Pretoria.

This senior role is central to developing and implementing sophisticated machine learning models and algorithms that drive innovation across a range of advanced applications.

You will lead the design, development, and deployment of ML systems, working with large-scale datasets and tackling complex computational challenges.

The ideal candidate will possess deep expertise in various ML paradigms, a strong programming foundation, and a passion for pushing the boundaries of AI.

This is a unique opportunity to shape the future of intelligent systems in Pretoria, Gauteng, within a highly collaborative and research-oriented environment.

Key Responsibilities
  • Lead the design, development, and implementation of advanced machine learning models and algorithms.
  • Work with large, complex datasets, ensuring data quality and relevance for model training.
  • Develop and maintain scalable ML pipelines for training, evaluation, and deployment.
  • Research and integrate state-of-the-art ML techniques and tools into existing systems.
  • Collaborate with software engineers, data scientists, and product managers to deliver AI-powered solutions.
  • Mentor junior engineers and contribute to the technical vision of the AI research team.
  • Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
  • Optimize model performance for accuracy, efficiency, and scalability.
  • Communicate complex technical concepts to both technical and non-technical audiences.
  • Contribute to intellectual property generation through patents and publications.
Requirements
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Minimum of 8 years of professional experience in machine learning engineering or a related role.
  • Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong proficiency in programming languages like Python, with a solid understanding of data structures and algorithms.
  • Proven experience in developing and deploying ML models in production environments.
  • Expertise in areas such as natural language processing (NLP), computer vision, or reinforcement learning is highly desirable.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
  • Strong analytical and problem‑solving skills.
  • Excellent communication and leadership abilities, with a track record of mentoring teams.
  • Experience in the Pretoria technology sector is a plus.
Benefits

Our client offers a highly competitive salary, comprehensive benefits package including medical aid, and significant opportunities for professional growth and continuous learning.

You will have access to cutting-edge research infrastructure and the chance to work on challenging, impactful projects.

This role offers a Hybrid work model, balancing on‑site collaboration with remote flexibility.

The position is based in Pretoria, Gauteng, a hub for technological innovation.

We are committed to diversity and inclusion, providing a supportive and stimulating work environment.

Join our client and be part of the AI revolution.

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