Hybrid ML Engineer - Build and Deploy AI at Scale

Placements24; South Africa; Hybride; ZAR 600 000 - 900 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health insurance

Retirement plan

Hybrid work model

Learning opportunities

Résumé du poste

Placements24 in South Africa is seeking a talented Machine Learning Engineer to join its dynamic team in Tembisa on a hybrid schedule. You will work on challenging AI projects, developing and deploying sophisticated ML models in production.

Collaborate with data scientists, software engineers and product managers to translate data into impactful features. A strong background in Python, ML libraries, cloud platforms, and MLOps is essential for success.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in machine learning engineering or data science.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong understanding of ML algorithms, statistical modeling, and data structures.

Responsabilités

• Develop, train, and deploy machine learning models using various algorithms and frameworks.
• Build and maintain scalable data pipelines for model training and inference.
• Collaborate with software engineers to integrate ML models into production systems.
• Monitor model performance, identify drift, and implement retraining strategies.
• Conduct A/B tests and experiments to evaluate the impact of ML models.

Connaissances

3+ years experience in ML

Formation

Bachelor’s or Master’s degree in CS/Engineering

Outils

Python

Scikit-learn

TensorFlow

PyTorch

AWS/Azure/GCP

MLOps

Description du poste

Placements24 in South Africa is seeking a talented Machine Learning Engineer to join its dynamic team in Tembisa on a hybrid schedule. You will work on challenging AI projects, developing and deploying sophisticated ML models in production.

Collaborate with data scientists, software engineers and product managers to translate data into impactful features. A strong background in Python, ML libraries, cloud platforms, and MLOps is essential for success.