Machine Learning Engineer

The Role

Your Responsibilities

develop and maintain a code base that produces ML models for different business units,
refactor, simplify complexity continuously (e.g. batch to stream processing),
improve data flow, establish new data sources and deployment,
troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability,
continuously optimize our systems for performance and cost-effectiveness,
document technical specifications, procedures, and outcomes,
use Azure DevOps for CI/CD, task tracking, version control, and other DevOps practices.

Ideal Profile

We Are Looking For You If, You Have

very good knowledge of Spark and Python,
good understanding of ML models deployment and consumption patterns,
ability to refactor, maintain, debug existing machine learnings solutions,
ability to maintain and improve templates for productionizing ML solutions,
experience in building containerized components,
experience in deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD),
problem-solving skills, being able to troubleshoot and optimize ML models,
great communication skills and a team player.

You'll Get Extra Points For

interest in banking and banking products,
experience working in international, cross functional teams,
knowledge in Airflow, GCP (Dataproc, BigQuery, GCS), Azure pipelines.

What's on Offer?

Excellent career development opportunities