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MLOps Engineer (Ref: 184354)

Forsyth Barnes

United Arab Emirates

On-site

AED 120,000 - 200,000

Full time

9 days ago

Job summary

A leading enterprise in the cosmetics and personal care sector is seeking an MLOps Engineer. This role focuses on developing and managing MLOps pipelines using Azure Databricks, with collaboration across data scientists to streamline model deployment. The ideal candidate resides in the UAE and has proven experience in MLOps methodologies, ensuring operational effectiveness and best practices in data management.

Benefits

Prospects for professional growth
Collaborative workplace
Attractive compensation packages

Qualifications

  • Extensive experience with MLOps methodologies and frameworks.
  • In-depth knowledge of Azure Databricks.
  • Residing in the UAE.

Responsibilities

  • Develop and oversee MLOps pipelines utilizing Azure Databricks.
  • Collaborate with data scientists and engineers to automate model deployment.
  • Enhance best practices for data management and model lifecycle.

Skills

MLOps methodologies
Azure Databricks

Job description

About Us

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.

Job Description

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.

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

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.

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