Machine Learning Engineer (12-Month Contract)

The Legends Agency; Johannesburg; Hybrid; ZAR 500,000 - 600,000; Full time

Job summary

A leading AI consultancy is seeking a Machine Learning Engineer for a 12-month contract in Johannesburg. The role involves building and scaling machine learning models, collaborating with cross-functional teams, and ensuring successful deployment into production. Ideal candidates will have 3-5 years of experience, strong Python and AWS skills, and an understanding of MLOps. The position offers competitive hourly rates and hybrid working flexibility.

Qualifications

• 3-5 years of experience in machine learning or data science.
• Strong proficiency in Python and ML frameworks.
• Experience with large datasets and SQL/NoSQL databases.
• Proven expertise with AWS cloud services.
• Knowledge of MLOps practices.

Responsibilities

• Design and optimise machine learning models for banking applications.
• Develop scalable ML pipelines for production.
• Collaborate with teams to deliver AI solutions.
• Deploy and maintain ML models in AWS environments.
• Document workflows and best practices.

Skills

Machine Learning

Python

AWS

Data Science

MLOps

SQL

Docker

Kubernetes

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Job description

Overview

Machine Learning Engineer (12-Month Contract)
Join a leading AI consultancy delivering cutting-edge solutions for enterprise clients.
Johannesburg | R600 - R640 per hour | Contract

About Our Client

Our client is a specialist consultancy that helps businesses harness the full potential of artificial intelligence. Partnering with large enterprises, including major players in financial services, they design and deliver impactful AI solutions that drive measurable results. The company is known for technical excellence, innovation, and a collaborative culture.

The Role

The Role: Machine Learning Engineer
We are seeking a Machine Learning Engineer to support a 12-month project within the banking sector. You will be responsible for building and scaling machine learning models, ensuring their seamless deployment into production environments. This is a hands-on role where you\'ll collaborate with data scientists, engineers, and business stakeholders to deliver end-to-end AI solutions.

Key Responsibilities

• Design, build, and optimise machine learning models for enterprise banking applications.

• Develop and implement scalable ML pipelines, integrating them into production systems.

• Collaborate with cross-functional teams to deliver robust AI solutions.

• Deploy, monitor, and maintain ML models within AWS environments.

• Ensure model reliability, reproducibility, and performance across their lifecycle.

• Document workflows, methodologies, and best practices for future use.

About You

• 3 -5 years of experience in machine learning, data science, or related fields.

• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Experienced in working with large datasets and SQL/NoSQL databases.

• Essential: Proven expertise with AWS cloud services (SageMaker, S3, Lambda, EC2, Glue, Redshift).

• Knowledge of MLOps practices and CI/CD for ML pipelines.

• Strong problem-solving skills with the ability to translate business needs into technical solutions.

• Experience in banking or financial services is advantageous but not mandatory.

• Bonus: Experience deploying AI models at scale, exposure to Docker/Kubernetes, and familiarity with ML observability tools.

Contract Details

• Duration: 12 months (with potential for extension).

• Location: Johannesburg or Stellenbosch, South Africa (hybrid flexibility may apply).