Galytix (GX) is delivering on the promise of AI.
GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.
GX AI assistants are designed for Individual Investors, Credit, and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.
As a Sr. Machine Learning Engineer, you will need to:
* Develop a state-of-the-art data science and ML runtime stack in a multi-cloud environment.
* Lead on software engineering and software design for ML components.
* Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture.
* Manage the infrastructure and pipelines needed to bring models and code into production.
* Demonstrate an end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
* Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production.
* Apply machine learning algorithms and libraries.
* Research and implement best practices to improve the existing machine learning infrastructure.
* Collaborate with data engineers, application programmers, and data scientists.
Desired skills:
* Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences.
* Self-starter with excellent communication and time management skills.
* Strong computer programming skills in Python, R, and Java.
* Experience scaling machine learning on data and compute grids.
* Proficiency with Kubernetes, Docker, Linux, and cloud compute.
* Experience with Dask, Airflow, and MLflow.
* MLOps, CI, Git, and Agile processes.
Why you do not want to miss this career opportunity?
* We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
* Customer-centric organisation with innovation at the core of everything we do.
* Capitalize on an unparalleled career progression opportunity.
* Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
* Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
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