Senior ML Engineer – Scalable AI & Data Pipelines

Placements24; Durban; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Medical aid and pension

Training and industry conferences

Collaborative work environment

Access to advanced technology

Job summary

Placements24 in Durban is seeking a talented Machine Learning Engineer to join our expanding data science team. You will develop, deploy, and monitor ML models that solve real business problems, collaborating with data scientists, engineers, and product teams.

The role emphasizes scalable ML pipelines, feature engineering, and model governance, with opportunities to work on cutting-edge AI solutions in a dynamic environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of professional experience in machine learning engineering.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and data processing tools (e.g., Spark).

Responsibilities

• Develop and productionize machine learning models for various applications, including predictive modeling and recommendation systems.
• Implement and optimize ML algorithms, ensuring scalability and efficiency.
• Collaborate with data scientists to preprocess data, perform feature engineering, and validate model performance.
• Build and maintain robust data pipelines for ML model training and inference.
• Monitor deployed models, troubleshoot issues, and implement improvements in Durban.

Skills

Python

Machine learning

Data preprocessing

Model deployment

Team collaboration

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Placements24 in Durban is seeking a talented Machine Learning Engineer to join our expanding data science team. You will develop, deploy, and monitor ML models that solve real business problems, collaborating with data scientists, engineers, and product teams.

The role emphasizes scalable ML pipelines, feature engineering, and model governance, with opportunities to work on cutting-edge AI solutions in a dynamic environment.