On-Site Senior AI Engineer — Queenstown, ZA

Placements24; Lorenziberg; Presencial; EUR 48.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Bonuses

Health coverage

Generous leave

Retirement fund

Professional development

On-site facilities

Career growth

Descripción de la vacante

Placements24 is seeking a Senior AI Engineer to join the team in Queenstown, Eastern Cape, ZA on-site. You will design, develop, and deploy scalable AI solutions, leading data pipelines and collaborating with researchers to optimize algorithms. Relocation support is available for top candidates.

You should have advanced degrees in a quantitative field and strong experience with Python, ML frameworks, and cloud AI services. MLOps and data engineering expertise are highly valued for this role.

Formación

• Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field.
• Significant experience in AI/ML development and deployment.
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI services.
• Experience with MLOps practices and data pipelines.

Responsabilidades

• Design, build, and deploy scalable AI and machine learning models and systems.
• Develop and maintain robust data pipelines for training and inference.
• Collaborate with data scientists and researchers to implement and optimize algorithms.
• Optimize AI models for performance, efficiency, and scalability in production environments.
• Mentor junior engineers and share best practices.
• Document technical designs and implementation details.

Conocimientos

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Data pipelines

Cloud platforms

Educación

Master's or Ph.D. in CS/Engineering

Herramientas

MLflow

Docker

Kubernetes

Descripción del empleo

Placements24 is seeking a Senior AI Engineer to join the team in Queenstown, Eastern Cape, ZA on-site. You will design, develop, and deploy scalable AI solutions, leading data pipelines and collaborating with researchers to optimize algorithms. Relocation support is available for top candidates.

You should have advanced degrees in a quantitative field and strong experience with Python, ML frameworks, and cloud AI services. MLOps and data engineering expertise are highly valued for this role.