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Internship - AI / ML Engineer (unpaid)

1.00 to 10.00 Years   Mangalore   20 Aug, 2026
Ecomine
Job LocationMangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryOthers
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Company Description Ecomine is a DPIIT-recognized deep-tech startup transforming mineral exploration in India through advanced AI and ML technologies. Its flagship platform, Spectropy, is a proprietary prediction engine that integrates hyperspectral satellite imagery, drill-core analysis, and multiple geophysical datasets into a unified subsurface intelligence layer. Using spectral unmixing, geophysical inversion, and deep-learning models tailored to Indian terrains, Spectropy generates high-confidence mineral prospectivity maps from surface to drill depth.This data-driven, physics-informed approach replaces fragmented, costly workflows and guides geologists on where to drill and why. Applicants will join a growing team focused on real-world impact at the intersection of geoscience and cutting-edge AI.Role Description This is a full-time, remote internship role for an AI / ML Engineer (unpaid). The intern will assist in designing, training, and evaluating machine learning and deep learning models for mineral prospectivity and geospatial analysis. Day-to-day tasks may include data preprocessing, feature engineering, algorithm prototyping, and implementation of neural networks and statistical models.The intern will support experimentation, model optimization, and documentation, collaborating closely with senior engineers and domain experts to integrate models into the Spectropy platform. The role also involves reviewing relevant research literature, implementing state-of-the-art methods, and contributing to internal tools and workflows in a structured, learning-focused environment.QualificationsStrong foundation in Computer Science and Algorithms, with the ability to implement and optimize computational solutions.Knowledge of Pattern Recognition and Neural Networks, including experience with deep learning frameworks (e.g., TensorFlow, PyTorch).Understanding of Statistics and probabilistic modeling, especially as applied to data analysis and machine learning.Pursuing or having completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.Experience with Python and common ML libraries (NumPy, pandas, scikit-learn), and familiarity with version control (e.g., Git).Ability to work independently in a remote setting, manage time effectively, and collaborate with a multidisciplinary team.Interest in geospatial data, earth sciences, or applications of AI to real-world industrial problems is a plus.Strong analytical thinking, problem-solving skills, and clear written communication for documenting methods and results. .

Keyskills :
Computer ScienceAlgorithmsPattern RecognitionNeural NetworksDeep LearningStatisticsData AnalysisTensorFlowPyTorch

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