Machine Learning Engineer

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 cross-functional 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 real-world 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.