Anewa Engineering Pvt Ltd - NMDC Energy

5+ years of related work experience in similar industries. Work Mode & Relation: Hybrid Mode & Working for NMDC Energy, Abu Dhabi. Role & responsibilities * Develop models to predict equipment failures and optimize maintenance schedules for heavy machinery, plant components, and other critical assets. * Analyze project data and historical performance to forecast potential delays, cost overruns, and safety risks. * Build models to optimize the procurement of materials and logistics, including predicting material costs, lead times, and potential supply chain disruptions. * Use AI to analyze incident reports, near-miss data, and real-time sensor information to identify safety hazards, predict accident hotspots, and improve safety protocols on construction sites. * Collaborate with engineering teams to develop AI tools that automate parts of the design process, such as generative design for structural components or optimizing layouts for efficiency and cost. * Implement computer vision and other AI techniques to automatically inspect work, detect defects in materials, and ensure quality standards are met on-site and in manufacturing facilities. * Stay up-to-date with the latest advancements in data science, machine learning, and design tools to continuously innovate and improve automation solutions. Preferred candidate profile * Proficiency in SQL, Python, SPARK along with pandas, scikit-learn, PyTorch/TensorFlow libraries. * Experience on the Azure Cloud platform including Azure Databricks, Azure ML * Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker * PowerBI or a similar data visualization software * Experience with computer vision for drawing/model analysis. * Knowledge of data processing tools, techniques and working with large datasets. * Strong problem-solving abilities, analytical thinking with an ability to multi-task, acquire new skills, troubleshoot and resolve issues. * Experience in design and prototype ML development with SQL datasets and training the model. * A strong understanding of the EPC project lifecycle, from front-end engineering design (FEED) to commissioning and experience of Primavera P6, SAP, BIM, and IoT sensor data. * Ability to work closely with project managers, engineers, and on-site personnel to understand their needs and translate business problems into data science solutions.