MLOps Engineer (Ref: 184354)

We are partnering with a prominent enterprise client in the cosmetics and personal care sector, which has recently secured approval to grow their workforce. This organization is in search of an MLOps Engineer to contribute to multiple key projects within their diverse portfolio.

The ideal candidate will focus significantly on Azure Databricks, playing a vital role in implementing machine learning models while upholding MLOps standards to ensure seamless operations across various initiatives.

• Developing, executing, and overseeing MLOps pipelines utilizing Azure Databricks.
• Working closely with data scientists and engineers to streamline and automate the model deployment process.
• Assessing system performance and addressing any challenges to maintain operational effectiveness.
• Enhancing the creation of best practices for data management and the model lifecycle.
• Offering support for machine learning projects spanning across the portfolio.

• Extensive experience with MLOps methodologies and frameworks.
• In-depth knowledge of Azure Databricks, with substantial experience in eCommerce platforms seen as a valuable asset.
• Must be residing in the UAE.

• Prospects for professional growth and development within a leading enterprise.
• A collaborative workplace characterized by innovative projects.
• Attractive compensation packages and comprehensive benefits.

This role presents an outstanding opportunity for an MLOps Engineer aiming to create a meaningful impact in a rapidly evolving industry. It offers a vibrant work environment and the chance to engage with cutting-edge technologies, thus enhancing both professional skills and career advancement.