
Data Scientist
2 days ago
Are you passionate about connecting great talent with the right opportunities? Join our growing team and play a key role in shaping our workforce
Location:
Hyderabad
Experience :
5+ years of related work experience in similar industries
Work Mode & Relation:
Hybrid Mode & Working for NMDC Energy - Abu Dhabi.
Qualification:
B. Tech / M. Tech Computer Science or Information Technology in a related
discipline, or equivalent.
Competencies:
✅ 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.
Skills:
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.
Power BI 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.
If you're ready to make an impact and grow your career in a dynamic environment, we’d love to connect
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