Senior Machine Learning Engineer - MLOps

Placements24; Gauteng; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Leave entitlement

Learning opportunities

Tech environment

Retirement plan

Hybrid work model

Job summary

WhatJobs Direct is hiring a Senior Machine Learning Engineer (MLOps) to join our AI & Emerging Technologies division in Pretoria, Gauteng. You will design, build, and maintain scalable ML pipelines, automate workflows, and manage infrastructure for experimentation and production deployment.

You will collaborate with data scientists and software engineers, monitor models in production, and ensure secure, cost-efficient ML infrastructure.

Qualifications

• Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in software engineering or machine learning engineering, with a focus on MLOps.
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency with containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI).
• Understanding of machine learning concepts and model lifecycle management.
• Excellent problem-solving, communication, and teamwork skills.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for model development, training, deployment, and monitoring.
• Automate ML workflows including data ingestion, feature engineering, training, validation, and deployment.
• Manage infrastructure for ML experimentation, such as cluster management and distributed training.
• Develop tools to enable collaboration between data scientists and software engineers.
• Monitor production model performance, detect drift, and plan retraining strategies.
• Ensure security, scalability, and cost-efficiency of ML infrastructure.
• Collaborate with data scientists to optimize models for production.
• Stay current with MLOps best practices and emerging tech.

Skills

Python programming

MLops

Cloud ML services

CI/CD

Education

Master's degree in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client, WhatJobs Direct, is seeking a Senior Machine Learning Engineer with a specialization in MLOps to join their cutting-edge AI & Emerging Technologies division in Pretoria, Gauteng . This role is crucial for streamlining the machine learning lifecycle, from experimentation to production deployment and monitoring. You will work with a talented team to build robust, scalable, and efficient ML systems, ensuring our AI solutions deliver maximum value. This is an excellent opportunity to contribute to significant projects in a hybrid work environment that balances in-office collaboration with remote flexibility.

Key Responsibilities

• Design, build, and maintain scalable and reliable MLOps pipelines for machine learning model development, training, deployment, and monitoring.
• Automate ML workflows, including data ingestion, feature engineering, model training, validation, and deployment.
• Implement and manage infrastructure for ML experimentation, such as cluster management and distributed training frameworks.
• Develop tools and frameworks to enable seamless collaboration between data scientists and software engineers.
• Monitor model performance in production, identify drift, and implement strategies for retraining and updating models.
• Ensure the security, scalability, and cost-effectiveness of ML infrastructure.
• Collaborate with data scientists to optimize models for production environments.
• Stay current with MLOps best practices, tools, and emerging technologies.

Requirements

• Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in software engineering or machine learning engineering, with a focus on MLOps.
• Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency with containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI).
• Understanding of machine learning concepts and model lifecycle management.
• Excellent problem-solving, communication, and teamwork skills.

Benefits

• Competitive salary with annual performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous annual leave and company holidays.
• Opportunities for continuous learning and professional growth.
• Access to advanced technology and collaborative work environment in Pretoria, Gauteng .
• Retirement savings plan.
• Flexible working hours and hybrid work model.