Engineer - AI (Mining Automation)

Job Title: Engineer - AI (Mining Automation) Company: WSP in India Job Category: Machine Learning Roles & Responsibilities: Job Description WSP is seeking an Engineer AI (Mining Automation) to join the GCC Specialist Mining Services team, supporting the delivery of digital and automation solutions for global mining projects. Reporting to the Mining Automation Team Leader, the successful candidate will develop and implement AI-enabled workflows that improve the way mining, asset, operational, geotechnical, and technical information is processed, connected, analysed, and used for engineering decision-making. The role combines mining-domain understanding with artificial intelligence, automation, data engineering, computer vision, knowledge extraction, and graph-based retrieval. The Engineer will collaborate with multidisciplinary teams across WSP to develop practical, scalable, traceable, and responsible solutions for mine planning, operations, tailings and water management, asset performance, risk management, and engineering delivery. Responsibilities AI and Mining Automation Development * Design, develop, and implement AI-enabled automation solutions for mining engineering and operational workflows. * Work with mining specialists to identify high-value automation opportunities and convert technical requirements into practical digital solutions. * Develop intelligent workflows that integrate geological, geotechnical, mine planning, operational, asset, * Support the use of generative AI, machine learning, computer vision, and agent-based approaches to improve engineering productivity and decision support. * Create reusable components and scalable solution patterns that can be applied across global mining projects. * Develop automated pipelines to extract information from mining reports, PDFs, scanned documents, drawings, tables, figures, inspection records, and monitoring outputs. * Apply OCR, layout understanding, multimodal models, and LLM-based techniques to identify entities, attributes, relationships, measurements, risks, and supporting evidence. * Implement validation, normalization, exception-handling, and quality-control logic to improve the accuracy and consistency of extracted information. * Maintain traceability between extracted outputs and the relevant source documents, pages, figures, tables, or evidence. * Develop, validate, and support deployment of machine learning solutions for predictive analytics, anomaly detection, classification, risk assessment, optimization, and asset insights. * Apply data science and statistical methods to identify patterns, trends, and actionable insights from engineering and operational data. * Evaluate model performance, limitations, and suitability for mining use cases, working with domain experts to confirm engineering relevance. * Contribute to proof-of-concept development and the transition of successful prototypes into maintainable production solutions. Knowledge Management and Graph-Based Intelligence * Support the design of structured knowledge models that connect mining assets, technical information, operational data, risks, controls, and engineering evidence. * Contribute to knowledge graph and semantic data solutions using RDF, OWL, SPARQL, or equivalent technologies where appropriate. * Develop graph-native and hybrid retrieval workflows, including GraphRAG approaches that combine structured graph context with AI models. * Enable natural-language access to connected mining knowledge for engineering assistants, analytics tools, and decision-support applications. * Support provenance, versioning, evidence linking, and auditability of AI-generated or graph-derived outputs. * Develop and integrate solutions using Azure AI services, Azure OpenAI, Azure Machine Learning, Azure AI * Build and maintain data pipelines, APIs, connectors, and services that integrate AI workflows with engineering platforms and enterprise data environments. * Contribute to deployment, monitoring, documentation, testing, and continuous improvement of production AI applications. * Support MLOps, prompt and model evaluation, access control, data security, and responsible AI practices. * Work as part of the GCC Specialist Mining Services team to support multidisciplinary mining assignments delivered across WSP's global business. * Collaborate with the Mining Automation Team Leader, mining engineers, geotechnical specialists, tailings practitioners, data scientists, software developers, and digital teams. development within the team. About Us WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. * Balance community, collaboration, opportunity, productivity, and efficiency. Apply today. NOTICE TO THIRD PARTY AGENCIES: WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Noida, Uttar Pradesh, India Availability: Full time

* Engage with project and domain teams to understand technical context, refine use cases, review outputs, and align solutions with project requirements. * Communicate technical concepts clearly to both technical and non-technical stakeholders across different regions and time zones. * Prepare solution documentation, specifications, test records, user guidance, and knowledge-transfer materials. * Contribute to internal standards, reusable assets, lessons learned, innovation initiatives, and capability Qualifications Education * Bachelor's or Master's degree in Mining Engineering, Computer Science, Data Science, Artificial Intelligence, Technical Experience And Skills * Proficiency in Python and experience with relevant AI, data science, or machine learning libraries and frameworks. * Hands-on experience with large language models, prompt engineering, retrieval-augmented generation, or generative AI application development. * Knowledge of data engineering concepts, ETL or ELT pipelines, APIs, structured and unstructured data processing, and system integration. * Experience with OCR, document processing, computer vision, layout analysis, or multimodal AI techniques. * Familiarity with Microsoft Azure-based AI and data services. Inspired by diversity, driven by inclusion, we work with passion and purpose.* Working with Us At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. Key Skills: Machine Learning, Python, Computer Vision Salary: Not disclosed