Machine Learning Engineer

You will collaborate with data scientists, engineers, and business stakeholders to develop intelligent systems, improve operational efficiency, and implement cutting-edge AI solutions. This is a hands-on engineering role offering exposure to modern machine learning, MLOps, cloud technologies, and large-scale data environments.

If you are passionate about turning ideas into production-ready solutions and want to work at the forefront of AI and automation, this opportunity is for you.

Key Responsibilities:

• Design, build, deploy, and maintain machine learning and AI solutions in production environments
• Develop intelligent systems for document processing, information extraction, automation, forecasting, classification, and optimisation
• Transform data science models and prototypes into scalable, production-ready applications and services
• Build and maintain APIs, pipelines, and automated scoring solutions
• Implement CI/CD, testing, orchestration, monitoring, and model management practices
• Monitor model performance, data quality, drift, and operational reliability
• Collaborate with software engineers and technical teams to integrate machine learning solutions into business systems
• Define success metrics and evaluate the business impact of deployed solutions
• Contribute to code reviews, technical documentation, and knowledge sharing initiatives

• Education: Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
• Experience:
• Proven experience developing production-grade machine learning and AI solutions
• Strong software engineering experience using Python
• Experience deploying models through APIs, pipelines, or automated workflows
• Experience working with large and complex datasets
• Technical Skills:
• Python and data science libraries
• SQL and advanced data analysis
• REST API development
• Git version control
• Automated testing and software development best practices
• Machine learning model development, evaluation, and optimisation
• CI/CD and software deployment practices
• Advantageous:
• MLOps tooling and model lifecycle management
• Snowflake, Snowpark, dbt, or similar data platforms
• Containerisation and cloud-based deployments
• XGBoost, LightGBM, or similar modelling frameworks
• OCR, document intelligence, and information extraction solutions
• Financial services, lending, credit risk, fraud, or regulated industry experience
• Additional Requirements:
• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder engagement skills
• Ability to balance technical excellence with business value
• Strong ownership mindset and commitment to delivering measurable outcomes

For more exciting IT vacancies, please visit: https://www.networkrecruitmentinternational.com/

I also specialise in recruiting in the following:

• Data Engineer
• Software Developer
• Data Analyst
• Infrastructure
• Architecture
• ...and more!

For more information, contact:

Karmishka Naidoo

Specialist Recruitment Consultant

Connect with me on LinkedIn! https://za.linkedin.com/in/karmishka-naidoo-088772290