Senior ML & Data Engineer — Hybrid, Production AI

Communicate Finance; Wes-Kaap; Hybrid; ZAR 800,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid working model

Mentorship & learning culture

Flexible work-life balance

Job summary

Communicate Finance seeks a data science/software engineer to join a team developing ML/AI capabilities for real-time, large-scale distributed systems. You will design features end-to-end, train models, and deploy them in production.

You will work across the full product lifecycle, collaborate with engineers and data specialists, and contribute to scalable microservices. A strong emphasis on learning, mentorship, and innovation is provided in a hybrid work environment.

Qualifications

• Minimum 3 years hands-on experience in Data Science or a data-focused software engineering role.
• Proven experience training, deploying, and supporting machine learning or AI models in production environments.
• Strong programming ability in Python and/or Java.
• Strong SQL and database design skills with experience working on large datasets.
• Experience with data wrangling, feature engineering, and model evaluation.
• Experience working in Unix-based environments, including scripting, networking, and troubleshooting.
• Experience with version control systems, containers, CI/CD processes, and microservice architectures.

Responsibilities

• Designing and implementing machine learning and AI features from concept through deployment
• Working across the full product lifecycle, from idea generation and design to implementation and deployment
• Training, deploying, and supporting machine learning models in production environments
• Building software solutions capable of processing and analysing large-scale datasets
• Collaborating with software engineers, data specialists, and cross-functional teams to solve complex technical challenges
• Contributing to scalable, distributed systems and microservice-based architectures
• Ensuring solutions are practical, maintainable, and valuable to both end users and support teams
• Contributing to an engineering culture centred around innovation, learning, knowledge sharing, and technical excellence

Skills

Python

Java

SQL

Data Science

Unix scripting

CI/CD

Microservices

Education

Bachelor's Degree in Data Science, Computer Science, Engineering, or related

Tools

Docker

Apache Kafka

Job description

Communicate Finance seeks a data science/software engineer to join a team developing ML/AI capabilities for real-time, large-scale distributed systems. You will design features end-to-end, train models, and deploy them in production.

You will work across the full product lifecycle, collaborate with engineers and data specialists, and contribute to scalable microservices. A strong emphasis on learning, mentorship, and innovation is provided in a hybrid work environment.