Geophysicist - ML

Company Description Ecomine is a DPIIT-recognized deep-tech startup focused on transforming mineral exploration in India through advanced AI and geophysical technologies. Its flagship platform, Spectropy, is a proprietary AI/ML prediction engine that integrates hyperspectral satellite imagery, hyperspectral drill-core data, 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 bit. The company replaces fragmented, costly exploration workflows with a data-driven, physics-informed approach that helps geoscientists and exploration teams know exactly where to drill and why.
Role Description This is a full-time remote role for a Geophysicist - ML at Ecomine. The role involves designing and executing geophysical survey strategies, overseeing data acquisition, and collaborating with data engineers to ensure high-quality, well-documented datasets. The Geophysicist will process and interpret geophysical data, contribute to inversion workflows, and work closely with ML specialists to integrate geophysical insights into Spectropy’s prediction engine. Day-to-day tasks include validating models against field data, refining subsurface interpretations, preparing technical reports and prospectivity maps, and supporting product improvements based on user feedback. The role also requires cross-functional collaboration with geology, data science, and product teams to deliver reliable, actionable intelligence to exploration partners.
Qualifications
Strong foundation in Geophysics and experience with Geophysical Surveys across methods such as magnetic, gravity, radiometric, and EM.
Hands-on experience in Geophysical Data Processing and general Data Processing, including cleaning, filtering, inversion, and integration of multi-modal datasets.
Practical expertise in field and lab Data Acquisition for geophysical measurements, with attention to data quality, calibration, and documentation.
Proficiency with relevant geophysical and scientific software (e.g., Oasis montaj, MATLAB, Python, GIS tools) and familiarity with ML/AI workflows.
Ability to interpret geophysical results in conjunction with geological and remote sensing data, and communicate findings clearly to technical and non-technical stakeholders.
Master’s or Bachelor’s degree in Geophysics, Applied Geophysics, Earth Sciences, or a related field; experience in mineral exploration is an advantage.
Comfort working in a remote, fast-paced startup environment, with strong problem-solving skills and a collaborative mindset.
Exposure to hyperspectral data, geophysical inversion techniques, or physics-informed machine learning models is highly beneficial.

Work arrangement
No