Machine Learning Engineer

Confidential Company

Employer Active

Posted 24 min ago

Experience

5 - 10 Years

Job Location

Dubai - United Arab Emirates (UAE)

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Any Nationality

Gender

Any

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

We are looking for a Machine Learning Engineer with strong expertise in developing, testing, and deploying data-intensive applications. The role involves building scalable machine learning models, algorithms, and analytics for automotive and retail datasets while ensuring robust data pipelines and MLOps practices. Proven experience as a Machine Learning Engineer or in a related role.

  • Design, build, and deploy scalable ML models, algorithms, and analytics for large-scale and unstructured datasets.
  • Develop, maintain, and enhance data pipelines to support complex ML workflows.
  • Research and implement new machine learning techniques, algorithms, and best practices to improve model performance.
  • Explore, evaluate, and integrate new data sources and pipelines to strengthen analytical capabilities.
  • Implement MLOps practices for streamlined model training, testing, deployment, and monitoring.
  • Collaborate with cross-functional teams and participate in client interactions to deliver effective ML solutions.
  • Utilize Azure Databricks, AWS, and Azure DevOps Services to build scalable, cloud-native ML solutions

Desired Candidate Profile

  • Strong proficiency in Python for machine learning, data analytics, and automation.
  • Experience with predictive modelling, feature engineering, and unstructured data processing.
  • Hands-on experience with Azure Databricks, AWS, and Azure cloud platforms.
  • Good knowledge of MLOps practices, CI/CD pipelines, and cloud-based deployments (Azure DevOps preferred).
  • Strong background in data engineering, ETL processes, and analytics on large datasets.
  • Excellent communication and problem-solving skills, with the ability to interact with clients.

Employment Type

    Full Time

Company Industry

Department / Functional Area

Keywords

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Confidential Company