Machine Learning Engineer

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Bonuses

Health coverage

Professional development

Hybrid work

Impactful projects

Job summary

Placements24 is seeking a talented Machine Learning Engineer to contribute to cutting-edge AI initiatives in Polokwane. You will design, build, and deploy ML models and systems that solve complex business problems and enable new product capabilities.

You will work closely with data scientists and software engineers to translate research into production-ready solutions, optimize model performance and scalability, and stay current with advancements in ML and deep learning.

Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Statistics, or a related field.
• 3+ years of experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Solid understanding of algorithms, data structures, and software engineering best practices.
• Experience with MLOps principles and tools is a plus.

Responsibilities

• Develop, train, and deploy machine learning models into production environments.
• Build and maintain scalable ML pipelines for data processing, feature engineering, and model evaluation.
• Collaborate with data scientists to iterate on model designs and optimize performance using techniques like hyperparameter tuning.
• Implement robust monitoring and logging for ML systems to ensure reliability and identify issues.
• Write high-quality, production-ready code in Python or other relevant languages.
• Stay current with advancements in machine learning and deep learning research and applications.

Skills

Python

TensorFlow

PyTorch

scikit-learn

MLOps

Education

Master's or PhD in CS/AI/Stats

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a talented and driven Machine Learning Engineer to contribute to their cutting-edge AI initiatives in Polokwane . This role focuses on designing, building, and deploying machine learning models and systems that solve complex business problems and create new product capabilities. You will work closely with data scientists and software engineers to translate research into production-ready solutions, optimizing model performance and scalability. The ideal candidate has a strong foundation in ML algorithms, software engineering principles, and a passion for pushing the boundaries of artificial intelligence.

Key Responsibilities

• Develop, train, and deploy machine learning models into production environments.
• Build and maintain scalable ML pipelines for data processing, feature engineering, and model evaluation.
• Collaborate with data scientists to iterate on model designs and optimize performance using techniques like hyperparameter tuning.
• Implement robust monitoring and logging for ML systems to ensure reliability and identify issues.
• Write high-quality, production-ready code in Python or other relevant languages.
• Stay current with advancements in machine learning and deep learning research and applications.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Statistics, or a related field.
• 3+ years of experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Solid understanding of algorithms , data structures, and software engineering best practices.
• Experience with MLOps principles and tools is a plus.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision coverage.
• Generous budget for professional development, conferences, and further education.
• Hybrid work arrangement offering a blend of in-office and remote flexibility.
• Opportunity to work on groundbreaking AI projects with significant impact.