Engineer - AI (Mining Automation)
WSP (company site, opens in a new tab)NoidaHybridDirect career pageEst. 12–28 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement AI-driven automation and analytics workflows for mining engineering, integrating diverse data sources for enhanced decision-making and operational productivity.
- Build scalable AI solutions including document intelligence, machine learning models for predictive analytics, and knowledge graph-based systems for global mining projects.
- Collaborate with multidisciplinary teams worldwide to deliver, document, and maintain AI applications aligned with mining engineering requirements using Azure cloud technologies.
Minimum Requirements
- Bachelor's or Master's degree in Mining Engineering, Computer Science, Data Science, AI, Software or Geotechnical Engineering.
- Experience developing AI, machine learning, automation, or data analytics solutions in mining, engineering, infrastructure, or asset-intensive domains.
- Proficiency in Python and hands-on experience with AI/ML libraries, large language models, OCR, computer vision, and Azure AI services.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong integration of mining domain expertise with advanced AI, automation and data engineering skills to create practical, scalable solutions.
- Experienced in end-to-end AI project delivery including model development, deployment, monitoring, and collaboration with engineering and data science teams.
- Comfortable communicating complex AI technical concepts to diverse stakeholders and working across global multidisciplinary teams in a structured delivery environment.