Role & responsibilities

Job Description: Lead AI Engineer / AI Team Lead Heavy Industry Operations
Location: Hedri- Gadchiroli
Department: IT
Experience Required: Minimum 10 years of relevant industrial IT/OT experience, with at least 5+ years of dedicated experience developing and deploying AI/ML models in heavy industry settings.
Role Overview
We are seeking a highly experienced, domain-focused Lead AI Engineer to architect, build, and deploy data-driven machine learning models across our end-to-end mining, beneficiation, and pelletizing operations.
This is not a generic data science role. You will bridge the gap between complex operational technology (OT) data and advanced industrial AI. You will be responsible for transforming raw data from crushing circuits, flotation cells, thickeners, balling discs, and induration furnaces into real-time, closed-loop machine learning models that directly optimize ore recovery, throughput, fuel/energy efficiency, and product quality.
Key Responsibilities
Core AI/ML Architecture & MLOps




Architect and execute the deployment of Edge AI models directly onto plant servers/edge gateways to bypass network latency and ensure 24/7 standalone availability in remote areas.
Establish an MLOps pipeline explicitly designed for time-series industrial sensor drift (compensating for physical machine wear, sensor degradation, and fluctuating ambient environments).
Collaborate with automation teams to transition models smoothly from Advisory Mode (providing recommendations to operators via dashboards) to Closed-Loop Control (directly writing setpoints back to SCADA/DCS systems).
Required Skill Sets & Qualifications
Technical Competencies (AI & Data Science)
Industrial Data Literacy: Deep experience handling multi-rate time-series data, sensor anomalies, noise filtering, and data aggregation from historians (e.g., OSIsoft PI, AspenTech InfoPlus.21).
Core Machine Learning: Proficiency in Python and open-source frameworks (TensorFlow, PyTorch, Sci

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