Job Description

About

This opportunity is for a leading Energy & Gas giant in the UAE. We are seeking a Machine Learning Developer to bridge the gap between data science and engineering. You will be responsible for operationalizing and maintaining machine learning models, ensuring they are scalable, reliable, and integrated seamlessly into the company's production systems.

Responsibilities

Design, build, and maintain scalable Machine Learning pipelines (MLOps) to automate model training, evaluation, and deployment. Collaborate with Data Scientists to refactor and optimize model code for production environments. Develop APIs and microservices to expose ML models to other enterprise applications. Monitor model performance in production (drift detection) and implement automated retraining workflows. Optimize ML algorithms for performance, scalability, and latency. Manage the infrastructure required for ML workloads, utilizing cloud services and containerization technologies. Ensure adherence to software engineering best practices, including version control, testing, and CI/CD for ML.

Requirements

Experience:

2 - 6 Years. Strong software engineering background with proficiency in Python, C++, or Java. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (MLflow, Kubeflow, etc.). Experience with containerization (Docker, Kubernetes) and cloud platforms (Azure, AWS). Solid understanding of data structures, algorithms, and system design. Ability to troubleshoot complex deployment issues and optimize system performance.

Bonus

Experience in the Energy or Industrial sectors. Knowledge of edge computing for deploying ML models on field devices. Certifications in Cloud Machine Learning Specialty.
Job Type: Full-time

Pay: AED8,000.00 - AED12,000.00 per month