Machine Learning Engineer

About Us

The Luxury Closet is a company born in Dubai, the heart of luxury in the Arabian Peninsula, where we are redefining the world of luxury. We seek to challenge the norms and build a sustainable company that is loved and admired, and inspires the modern-day luxury consumer.

Our aim is to unlock and curate the most valuable and exclusive closets from around the world.

What do we offer?

• A young, dynamic and forward-thinking environment
• Fast paced and very short decision times for changes
• A canvas for you to truly excel
• 99% of uptime on sunshine
  
  

Job Summary

We are seeking a skilled machine learning engine to join our team and contribute to the development and deployment of AI-driven solutions. The ideal candidate has expertise in machine learning, deep learning, and data science, with strong proficiency in Python and its related frameworks. You will be responsible for building, optimizing, and maintaining machine learning models, as well as integrating them into production systems.

Key Responsibilities

• Develop machine learning models for various applications such as recommendation systems, ranking.
• Use existing AI platforms such as ChatGPT, Gemini, and LangChain to improve overall team efficiency.
• Design and implement data preprocessing pipelines, feature engineering, and model evaluation techniques.
• Work with large datasets, ensuring data integrity, quality, and efficient processing.
• Optimize model performance using hyperparameter tuning, model selection, and advanced techniques like transfer learning or ensemble methods.
• Collaborate with software engineers and data engineers to integrate models into scalable applications.
• Monitor model performance and implement necessary improvements, including retraining and continuous learning mechanisms.
• Research and stay updated with the latest advancements in AI, machine learning, and deep learning.
• Write clean, efficient, and well-documented Python code following industry best practices.
• Participate in code reviews, debugging, and troubleshooting issues in ML pipelines and applications.
  
  

Requirements

Technical Skills

• Proficiency in Python and ML-related libraries/frameworks such as TensorFlow.
• Strong knowledge of supervised and unsupervised learning algorithms.
• Experience with data preprocessing techniques, feature selection, and dimensionality reduction.
• Familiarity with ML model deployment using REST APIs or cloud-based services.
• Proficiency in working with SQL and NoSQL databases for data retrieval and processing.
  
  

Soft Skills

• Strong problem-solving skills and analytical thinking.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Excellent communication and documentation skills.
• Attention to detail and a passion for building high-quality AI solutions.
  
  

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