Machine Learning Engineer

Are you driven by the challenge of transforming complex data into impactful machine learning solutions that propel business growth? Our client, a leading player in the technology and financial sectors, is seeking a highly skilled Machine Learning Engineer to join their innovative team. This role offers the opportunity to lead the development and deployment of advanced AI models within a dynamic, hybrid work environment, backed by competitive compensation and comprehensive employee benefits.

In this role, you will demonstrate your expertise in cloud architecture on Azure, utilizing tools such as AKS, Databricks, Spark, Airflow, and MLflow to build scalable, reliable machine learning platforms. Your strong data science literacy will bridge the gap between model development and production, while your programming proficiency in Python and R will facilitate data manipulation, statistical analysis, and model implementation.

You will implement MLOps practices to streamline deployment, monitoring, and management of models, automating the entire pipeline from data ingestion to model lifecycle management. Designing robust inference systems—including APIs, batch, and real-time streaming solutions—and leveraging GPU acceleration for deep learning are key components of this strategic role.

To qualify, you should possess a STEM qualification, with between three and seven years of experience in data science or cloud-based roles. A proven track record of delivering successful projects into production is essential. You must have strong knowledge of Microsoft Azure, Flo, MLflow, and Python. Nice-to-have skills include experience in finance, banking, IT, or engineering sectors.

Our client offers a supportive work culture with opportunities for professional growth. Benefits include medical aid contribution, provident fund contributions, annual bonuses, and performance-driven incentives.