Overview
Machine Learning Engineer Jobs in Muscat, Masqaţ, Oman at Madar Technologies LLC
Title: Machine Learning Engineer
Company: Madar Technologies LLC
Location: Muscat, Masqaţ, Oman
Company Description Madar Technologies LLC is an Omani technology company focused on building next-generation Agentic AI solutions for industrial enterprises, utilities, infrastructure operators, and government organizations. The company is developing the Industrial Nervous System™, an Operational Intelligence platform that transforms fragmented operational, engineering, maintenance, and business data into actionable intelligence. Their technology goes beyond traditional dashboards by understanding how events propagate through an organization, quantifying financial impact, and recommending preventive actions. Madar’s solutions target mission-critical industries such as manufacturing, energy, ports, airports, mining, logistics, and the public sector to improve reliability, resilience, and executive decision-making. The company’s vision is to create intelligent, resilient, and continuously learning industrial systems that protect cash flow and optimize asset performance.
Role Description This is a full-time, on-site Machine Learning Engineer role based in Muscat. The Machine Learning Engineer will design, develop, and deploy machine learning models that power Madar’s Industrial Nervous System™ platform, focusing on pattern recognition across complex operational and financial signals. Day-to-day responsibilities include experimenting with neural network architectures, implementing algorithms for predictive analytics, and collaborating with domain experts to translate industrial data into robust AI solutions. The role involves building scalable data pipelines, evaluating model performance using statistical methods, and optimizing models for production environments. The Machine Learning Engineer will work closely with software engineers and product teams to integrate models into real-time systems that support operational resilience and executive decision-making.
Qualifications
- Strong foundation in Computer Science and Algorithms, with practical experience designing and implementing efficient, scalable solutions.
- Proficiency in Pattern Recognition and Neural Networks, including experience with deep learning frameworks and time-series or multivariate industrial data.
- Solid understanding of Statistics and probabilistic modeling, with the ability to evaluate, validate, and interpret model performance and uncertainty.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related quantitative field.
- Hands-on experience with Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and data processing tools.
- Experience deploying machine learning models to production, preferably in cloud or edge environments.
- Familiarity with industrial or operational data (e.g., manufacturing, utilities, energy, logistics) is an advantage.
- Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document work thoroughly.
