Machine Learning Innovator at Search Plus

4 days ago


Dubai, Dubai, United Arab Emirates Search Plus Full time

We are seeking a highly skilled Machine Learning Engineer to join our team at Search Plus. As a Machine Learning Engineer, you will play a key role in developing and deploying machine learning models that drive business growth and improve customer experiences.

Key Responsibilities:

  • Design and implement machine learning models to address specific business problems, such as classification, regression, clustering.
  • Choose appropriate algorithms based on problem requirements, including supervised, unsupervised, or reinforcement learning.
  • Train models on large datasets and evaluate their performance using metrics like accuracy, precision, recall, F1-score, or AUC.
  • Tune hyperparameters, adjust algorithms, and experiment with different architectures to improve model performance.

Data Processing and Feature Engineering:

  • Preprocess raw data, handle missing values, outliers, and ensure data is clean and suitable for machine learning.
  • Extract relevant features from raw data, transforming it into a format suitable for modeling.
  • Combine data from different sources and ensure proper data flow into the machine learning pipeline.

Model Deployment and Integration:

  • Work with software engineers to deploy machine learning models into production environments.
  • Develop APIs for integrating machine learning models into larger systems or applications for real-time or batch inference.
  • Ensure machine learning models can handle large-scale data and can be efficiently used in production environments.
  • Continuously monitor model performance in production, detecting issues like data drift or model degradation, and retrain models when necessary.

Collaboration with Cross-Functional Teams:

  • Collaborate with data scientists to understand the problem, select the right algorithms, and develop experimental models.
  • Work with software engineers to integrate machine learning models into software products or services.
  • Translate business requirements into technical solutions and communicate findings to non-technical stakeholders.

Requirements:

  • Master's degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • 2+ years of working experience in Machine Learning.
  • Experience with AWS is a plus.
  • Knowledge in Statistical modeling and maths.
  • Intermediate knowledge of Python's ML stack: Pandas, Matplotlib, Sklearn, Tensorflow.
  • Intermediate knowledge of machine learning algorithms such as Linear regression, Gradient boosted trees, Neural networks.
  • Basic knowledge of SQL, and visualization tools such as Periscope with experience in handling large datasets.
  • Basic knowledge of statistical analysis and A/B testing.
  • Excellent verbal and written communication.
  • Strong problem-solving skills.
  • Analytical thinking; Conceptual thinking; Detail-oriented; Business Acumen.
  • Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning.


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