Engineer: Machine Learning III

Boardroom Appointments; Stellenbosch; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Boardroom Appointments in Stellenbosch, South Africa, seeks an Engineer: Machine Learning III to design and deliver production ML systems. You will work in a cross-functional team on data-driven features, ML pipelines, model training, deployment, and monitoring in a cloud-enabled environment.

Candidates should have 4–6 years ML/SE experience, strong Python/SQL, and hands-on with cloud and container tech. The role emphasizes software best practices, agile teamwork, and delivering scalable ML

Qualifications

• 4 to 6 years Machine Learning and Software Engineering experience.
• Strong analytical and problem-solving skills.
• Expert in Python and SQL.
• Experience with modern software development best practices, e.g. Code reviews, Unit testing, Version control (Git), CI/CD.
• Experience with microservice architectures and agile teams.
• Experience with ML frameworks and tools (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Spark MLlib).
• Experience with ETL and orchestration frameworks (Apache Spark, Flink, Kafka).
• Development on Windows and Linux.
• Container tech (Docker, Kubernetes).
• Experience building ML/AI systems and deploying models to production.
• Proficiency in R language.
• Experience with NoSQL databases.
• Experience with ML platforms (MLflow, Kubeflow) and DS platforms (Dataiku, Domino).
• Cloud infrastructure (Azure, AWS, GCP; AWS preferred).

Skills

Python

SQL

Analytical skills

Problem solving

OOP/Functional in Python

Agile team experience

ML concepts

Model deployment

Production ML systems

Windows and Linux development

Microservice architectures

R language

NoSQL databases

CI/CD

Git

Education

Bachelors in Information Technology - Computer Science or Engineering - Other

Relevant degree in IT/Engineering

Tools

Git

Docker

Kubernetes

CI/CD pipelines

Apache Spark

Kafka

Spark MLlib

MLflow

Kubeflow

Azure

AWS

GCP

Job description

About the job Engineer: Machine Learning III

Qualifications and experience:

• 4 to 6 years Machine Learning and Software Engineering experience
• Strong analytical and problem-solving skills
• Expert in Python and SQL
• Experience with modern software development best practices, e.g.
• Code reviews
• Unit testing
• Version control, e.g. git
• CI/CD
• Experience with microservice architectures
• Experience working in an agile team
• Experience with ML frameworks and tools (e.g. pandas, NumPy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
• Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
• Development experience in both Windows and Linux
• Experience with container technologies, e.g. Docker, Kubernetes
• Experience in building machine learning or AI systems
• Proficiency in R language
• Experience deploying models to production
• Experience with NoSQL databases
• Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
• Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
• Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; (AWS preferred)
• A relevant degree in Information Technology - Computer Science or Engineering Other
• A relevant degree in Information Technology - Computer Science or Engineering - Other

Knowledge of:

• Object oriented and functional programming in Python
• Data science life cycle
• Machine learning concepts
• Machine learning model life cycle

Ideal:

• Data Science lifecycle
• Big data storage and processing solutions
• Machine learning model architectures

Skills:

• Analytical Skills
• Planning, organising and coordination skills