Senior ML Engineer — Drive Production-Grade AI Solutions

Placements24; Midrand; On-site; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Professional development

On-site workplace in Midrand

Job summary

Placements24 in Midrand seeks a Senior Machine Learning Engineer to design, develop and deploy advanced ML models across production systems. You will work with data scientists and engineers and mentor junior colleagues.

You will stay at the forefront of AI research, applying cutting-edge techniques to real-world business challenges and guiding architecture, MLOps, and monitoring in a fast-paced environment.

Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of hands-on experience in building and deploying machine learning models in a production environment.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Strong understanding of statistical modeling, data mining, and advanced algorithms.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is essential.

Responsibilities

• Design, develop, and implement sophisticated machine learning models and algorithms to address specific business needs.
• Collaborate with data scientists and software engineers to integrate ML models into production systems and applications.
• Conduct rigorous experimentation, hyperparameter tuning, and model evaluation to ensure optimal performance and accuracy.
• Stay abreast of the latest advancements in AI, ML, and deep learning research, and apply them to current projects.
• Mentor junior engineers and contribute to best practices in MLOps, model deployment, and monitoring.

Skills

Python

MLOps

Statistical modeling

Data mining

Education

Master's or PhD in Computer Science, AI, or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

Placements24 in Midrand seeks a Senior Machine Learning Engineer to design, develop and deploy advanced ML models across production systems. You will work with data scientists and engineers and mentor junior colleagues.

You will stay at the forefront of AI research, applying cutting-edge techniques to real-world business challenges and guiding architecture, MLOps, and monitoring in a fast-paced environment.