Senior ML Architect & R&D Leader — Hybrid

Placements24; Upington; Hybrid; ZAR 1.200.000 - 2.000.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Health insurance

Hybrid work model

Professional development budget

Equity options

Career growth opportunities

Zusammenfassung

Placements24 in Upington, Northern Cape is seeking a Principal Machine Learning Engineer to lead design, development and deployment of advanced ML models. You will mentor engineers, drive technical strategy, and collaborate with cross-functional teams to deliver scalable AI solutions.

The role offers a hybrid work model, a strong emphasis on research, and opportunities to publish and contribute to product innovation across AI platforms.

Qualifikationen

• PhD or Master's in CS/AI/ML or related field.
• Proven track record leading complex ML projects.
• Deep knowledge of ML algorithms and DL architectures.
• Experience with production ML deployments.
• Strong communication and leadership.

Aufgaben

• Lead design, development, and deployment of sophisticated ML models and algorithms.
• Research and apply state-of-the-art ML techniques to real-world problems.
• Develop and maintain robust ML pipelines for data preprocessing, training, evaluation, and deployment.
• Collaborate with data scientists, engineers, and product managers to integrate ML solutions into products.
• Mentor junior engineers and data scientists; stay abreast of ML advancements.
• Contribute to ethical and responsible AI development and deployment.

Kenntnisse

ML Leadership

Python

Distributed Computing

Cloud Platforms

MLOps

Communication

Ausbildung

PhD or Master's in CS/AI/ML/Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Spark

AWS

Jobbeschreibung

Placements24 in Upington, Northern Cape is seeking a Principal Machine Learning Engineer to lead design, development and deployment of advanced ML models. You will mentor engineers, drive technical strategy, and collaborate with cross-functional teams to deliver scalable AI solutions.

The role offers a hybrid work model, a strong emphasis on research, and opportunities to publish and contribute to product innovation across AI platforms.