Data Scientist • Senior

Who you are

You have 5–8+ years of experience in ML Engineering or MLOps, with a strong background in building large-scale ML systems. Your expertise includes architecting end-to-end ML infrastructure, including pipelines, model serving, monitoring, and governance. You have a proven track record of deploying ML solutions at enterprise scale, ensuring audit, governance, and monitoring layers are in place. You are skilled in designing and managing advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks. Your experience also includes implementing model registry, versioning, lineage, and audit-compliant governance frameworks. You are comfortable mentoring MLOps engineers and collaborating with platform, data, and product teams to ensure seamless integration. You drive the adoption of MLOps best practices across containerization, observability, testing, and scalable infrastructure.

Desirable

You have experience with process automation and can provide recommendations on effective AI use while identifying opportunities to streamline workflows. You are familiar with the latest trends in AI and ML, and you are eager to apply your knowledge to real-world challenges.

What you'll do

In this role, you will architect and lead the deployment of high-impact ML solutions, including forecasting engines, optimization models, and NLP use cases. You will design and manage CI/CD workflows that enhance the efficiency of ML operations. Your responsibilities will include building and maintaining monitoring systems to detect model drift and automate retraining cycles. You will mentor MLOps engineers, fostering a culture of growth and collaboration within the team. You will collaborate closely with platform, data, and product teams to ensure that ML solutions are seamlessly integrated into existing systems. You will drive the adoption of best practices in MLOps, ensuring that your team is equipped with the tools and knowledge necessary to succeed in a rapidly evolving field.

What we offer

Wizeline provides a high-impact environment where you can thrive and grow professionally. We are committed to your development and offer a flexible and collaborative culture that encourages innovation. As part of our global community, you will have opportunities to work on cutting-edge AI-powered digital products and platforms. We value the contributions of our team members and strive to create a vibrant community where everyone can make an impact.