Engineer Machine Learning III

Boardroom Appointments; Stellenbosch; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A recruitment agency is seeking an Engineer for Machine Learning III in Stellenbosch, South Africa. The ideal candidate will have 4 to 6 years of experience in Machine Learning and Software Engineering, with strong analytical skills and proficiency in Python and SQL. Knowledge of cloud technologies is essential, and familiarity with various machine learning frameworks is a plus. This role involves developing and implementing machine learning systems as part of an agile team.

Qualifications

• 4 to 6 years of experience in Machine Learning and Software Engineering.
• Strong analytical and problem-solving skills.
• Expert in Python and SQL.
• Experience deploying models to production.

Skills

Machine Learning

Software Engineering

Python

SQL

Analytical Skills

Problem-solving

R language

Agile methodologies

Microservices

Education

Relevant degree in Information Technology - Computer Science or Engineering

Tools

Docker

Kubernetes

Apache Spark

TensorFlow

pandas

NumPy

scikit-learn

AWS

Azure

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