Senior AI Engineer (Python)

Company Description Acube Developments is a Dubai-based real estate developer focused on off-plan residential projects designed for long-term value, contemporary living, and global investors. Its portfolio includes flagship developments such as Vega in Dubai Sports City, Electra in Jumeirah Village Circle, and Adhara Star in Arjan, all strategically located to meet the evolving demands of Dubai’s property market. The company operates a fully integrated development model through Celestia Constructions, its in-house engineering and construction division, and Acube Industries, which manages interiors, joinery, aluminium, and steel fabrication. This structure enables Acube to maintain strict control over quality, timelines, and investor confidence from concept to completion. Acube Developments is committed to supporting Dubai’s ongoing growth through responsible, high-quality development.
Role Description This is a full-time Senior AI Engineer (Python) role based in Mumbai, structured as a hybrid position with a mix of on-site and work-from-home arrangements. The Senior AI Engineer will design, develop, and deploy AI and machine learning solutions that support data-driven decision-making across development, construction, and investment functions. Day-to-day responsibilities include building scalable Python-based services, training and evaluating models, integrating AI components into existing systems, and optimizing performance for production environments. The role involves close collaboration with product, data, and engineering teams to define requirements, translate business needs into technical solutions, and maintain robust, well-documented code. The engineer will also mentor junior team members, contribute to architectural decisions, and stay current with advancements in AI and MLOps best practices.
Qualifications
Strong proficiency in Python for backend development and AI/ML workloads, including experience with modern frameworks and libraries.
Hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and model training, evaluation, and deployment.
Solid understanding of data engineering concepts, including data preprocessing, feature engineering, and working with structured and unstructured datasets.
Experience building and deploying scalable AI services on cloud platforms (e.g., AWS, Azure, GCP), including containerization and CI/CD pipelines.
Strong software engineering practices, including version control (Git), testing, code review, and documentation.
Ability to translate business requirements into technical solutions and collaborate effectively with cross-functional stakeholders.
Demonstrated experience in a senior or lead engineering role, including mentoring and technical guidance for other team members.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
Familiarity with analytics and decision-support systems in domains such

Work arrangement
Hybrid