Introduction
The founding of Metropolitan dates to as early as 1898 and Momentum traces its roots to being established in 1966. Momentum Group was formed from the merger of Metropolitan and Momentum, two sizeable and diverse insurance-based financial services companies in South Africa and was listed on the Johannesburg Stock Exchange on 1 December 2010.
In order to grow its international footprint and diversify its revenue streams, Momentum Group actively pursues financially viable opportunities across the world. Aditya Birla Health Insurance Company Limited, a joint venture with Aditya Birla Capital Limited, was incorporated in 2015 and was our first expansion into India.
Having experienced India first-hand as a hub of both talent and chance, we set up Momentum Services in 2017, a wholly-owned Mumbai-based global in-house centre to leverage IT, ITES and Business support services to all our businesses worldwide.
Role Purpose
The Machine Learning Engineer is responsible for designing, developing, deploying,
and maintaining machine learning models and AI-driven solutions that solve complex
business problems. The role involves working closely with data scientists, software
engineers, and business stakeholders to transform data into scalable and productionready intelligent systems.
Duties & Responsibilities
KEY ACCOUNTABILITIES/KRAs/KPIs:
• Design, build, train, validate, and deploy machine learning models to address
business challenges.
• Collaborate with business stakeholders to understand requirements and translate
them into AI/ML solutions.
• Perform data collection, cleansing, preprocessing, and feature engineering
activities.
• Evaluate model performance using appropriate metrics and optimize models for
accuracy and scalability.
• Develop and maintain data pipelines to support machine learning workflows.
• Implement MLOps best practices for model deployment, version control,
monitoring, and retraining.
• Work closely with engineering teams to integrate ML