Machine Learning Engineer

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

Benefits offered by this job

Health insurance

Hybrid work model

Access to computing resources

Job summary

Placements24 in Stellenbosch is seeking a skilled Machine Learning Engineer to contribute to cutting-edge AI initiatives in Paarl. You will design, implement, and deploy ML models, build scalable pipelines, and collaborate with data scientists and software engineers to productionize solutions.

The role emphasizes staying current with ML advancements, optimizing models for production, and leveraging cloud platforms and MLOps practices.

Qualifications

• Master's or PhD in CS/DS or related quantitative field.
• 3+ years of professional ML engineering experience.
• Strong Python programming skills and experience with ML libraries.
• Experience with cloud platforms (AWS/Azure/GCP) and MLOps practices.

Responsibilities

• Design, develop, and implement machine learning models and algorithms.
• Build and maintain scalable ML pipelines for training, evaluation, and deployment.
• Collaborate with data scientists to productionize models and conduct experiments.
• Optimize ML models for performance, efficiency, and scalability in production environments.
• Develop and manage ML infrastructure, including tooling and platforms.
• Stay abreast of the latest advancements in ML and AI.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Education

Master's or PhD in Computer Science/Data Science

Tools

AWS

Azure

GCP

ML pipelines

Job description

About the Role

Our client is seeking a talented Machine Learning Engineer to contribute to their advanced AI initiatives in Paarl . This role involves developing, implementing, and deploying machine learning models that solve complex business problems. You will work closely with data scientists and software engineers to build scalable ML pipelines, optimize model performance, and integrate ML solutions into production systems. This is a prime opportunity to apply cutting-edge ML techniques in a collaborative setting within the dynamic technological landscape of the Western Cape .

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms.
• Build and maintain scalable ML pipelines for model training, evaluation, and deployment.
• Collaborate with data scientists to productionize models and conduct experiments.
• Optimize ML models for performance, efficiency, and scalability in production environments.
• Develop and manage ML infrastructure, including tooling and platforms.
• Stay abreast of the latest advancements in machine learning and artificial intelligence.

Requirements

• Master's or PhD in Computer Science, Data Science, or a related quantitative field.
• 3+ years of professional experience in machine learning engineering or related field.
• Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in data manipulation and analysis tools.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Solid understanding of statistical modeling, data mining, and algorithm development.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Significant opportunities for research, development, and continuous learning.
• Hybrid work model promoting work-life balance.
• Access to state-of-the-art computing resources and datasets.