Machine Learning Engineer - Dubai, United Arab Emirates - Caliberly

    Caliberly background
    Description

    Our Prestigious client in Dubai Internet City is hiring for Machine Learning Engineer

    Responsibilities:

    1. Problem Identification: Collaborate with stakeholders to understand business requirements and identify opportunities for applying machine learning solutions.
    2. Data Collection and Preparation: Gather and preprocess large datasets from various sources ensuring data quality integrity and relevance for model training.
    3. Feature Engineering: Extract and engineer relevant features from raw data to improve model performance and accuracy.
    4. Model Development: Design develop and train machine learning models using techniques such as supervised learning unsupervised learning and deep learning.
    5. Model Evaluation: Evaluate model performance using appropriate metrics and techniques iterating on model design and hyperparameters to optimize performance.
    6. Model Deployment: Deploy machine learning models into production environments ensuring scalability reliability and maintainability.
    7. Monitoring and Maintenance: Monitor model performance in production identify and address issues and continuously improve model performance over time.
    8. Documentation: Document model development processes data pipelines and model deployment procedures for reproducibility and knowledge sharing.
    9. Collaboration: Collaborate with crossfunctional teams including data scientists software engineers and business stakeholders to integrate machine learning solutions into existing systems and workflows.

    Experience:

    • Previous experience working as a machine learning engineer or data scientist with a proven track record of developing and deploying machine learning solutions in realworld applications.
    • Experience with cloud platforms (such as AWS Azure or Google Cloud Platform) and containerization technologies (such as Docker Kubernetes) is desirable.
    • Experience with big data technologies (such as Apache Hadoop Spark) and distributed computing frameworks is a plus.
    • Experience with natural language processing (NLP) computer vision or other specialized domains of machine learning is beneficial depending on the specific requirements of the role.

    Remote Work :

    No