Senior AI Engineer - Machine Learning

Placements24; Midrand; Hybrid; ZAR 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Professional development

Access to cutting-edge AI resources

Job summary

Placements24 in Midrand seeks a Senior AI Engineer specializing in Machine Learning to lead design, development, and deployment of advanced AI solutions that drive business value. You will work with data scientists, engineers, and product managers to translate complex data into scalable models.

The ideal candidate holds a Master’s or PhD in a quantitative field, 5+ years in AI/ML, expert Python and libraries (TensorFlow, PyTorch, scikit-learn, Pandas), and hands-on cloud/MLOps experience.

Qualifications

• Master's or PhD in Computer Science, AI, ML, or a related quantitative field.
• Min. 5 years of professional AI/ML experience with a proven track record.
• Proficiency in Python and libraries: TensorFlow, PyTorch, scikit-learn, Pandas.
• Strong knowledge of ML techniques including DL, NLP, and CV; cloud/MLOps experience.

Responsibilities

• Design, develop, and implement advanced machine learning models to solve business problems.
• Process, clean, and analyze large datasets for model training.
• Deploy AI models into production ensuring scalability and reliability.
• Collaborate with engineers and product teams to integrate AI into offerings.
• Conduct research on state-of-the-art AI techniques and assess applicability.
• Monitor, maintain, and optimize the performance of deployed models.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Pandas

Education

Master's or PhD in Computer Science/AI/ML

Tools

AWS

Azure

GCP

MLOps

Job description

About the Role

Our client is seeking a highly skilled and innovative Senior AI Engineer specializing in Machine Learning to join their dynamic team in Midrand . You will be at the forefront of developing cutting-edge AI solutions that drive business value and technological advancement. This role involves tackling complex challenges, from data preprocessing and model training to deployment and performance optimization. You will collaborate with cross-functional teams, including data scientists, software developers, and product managers, to bring groundbreaking AI initiatives to life. The ideal candidate possesses a deep understanding of machine learning algorithms, a passion for artificial intelligence, and a commitment to continuous learning and innovation within the rapidly evolving AI landscape.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms to solve business problems.
• Process, clean, and analyze large datasets to extract meaningful insights and prepare data for model training.
• Deploy AI models into production environments, ensuring scalability, reliability, and optimal performance.
• Collaborate with engineers and product teams to integrate AI solutions into existing or new product offerings.
• Conduct research on state-of-the-art AI techniques and evaluate their potential application for our client's strategic goals.
• Monitor, maintain, and continuously improve the performance of deployed machine learning models.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of professional experience in AI/ML engineering with a proven track record of delivering successful projects.
• Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn, and Pandas.
• Strong understanding of various machine learning techniques, including deep learning, natural language processing, and computer vision.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is essential.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Competitive annual salary package with performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Opportunities for professional development, including conferences and training.
• Hybrid work model offering flexibility between office and remote work.
• Access to cutting-edge AI research and development resources.
• Collaborative and innovative work environment.