Geospatial Machine Learning Engineer

Geospatial Machine Learning Engineer Contract Type: W2, paid hourly. Contract Length: 8-12 months, with potential for extension. Hourly Rate: $80 - $110 per hour, based on experience. Our client is a fast-growing, innovative company seeking an experienced Senior Geospatial Machine Learning Engineer for an initial 8-12 month W2 contract. This is a chance to apply your expertise to a critical, mission-driven challenge: enabling a more resilient world through technology. About the Project This business are using cutting-edge AI and satellite data to help build a more resilient world. As a key member of their modeling team, you’ll develop and refine algorithms to analyze geospatial data. You’ll be responsible for leading projects from start to finish, from initial data exploration and model improvements to final delivery. This is a chance to make a tangible impact on a globally relevant problem and shape the future of their platform. What You'll Be Doing • Develop and enhance products using machine learning and deep learning techniques. • Spearhead projects and ensure their value is clear to all stakeholders. • Build tools to measure performance and guide data-driven decisions. Required Skills & Experience • 6+ years of commercial experience as a Data Scientist or Machine Learning Engineer. • Extensive experience with geospatial or satellite data, and related tools like GDAL, Rasterio, GeoPandas, and QGIS. • Expertise in scientific Python and its libraries, including NumPy, SciPy, scikit-learn, etc. • Proficiency with deep learning algorithms for geospatial applications, using frameworks such as PyTorch or TensorFlow. • Must be USA based - ideally a permanent resident (US Citizen, or Green Card holder) Contract Details • Contract Type: W2, paid hourly. • Contract Length: 8-12 months, with potential for extension. • Hourly Rate: $80 - $110 per hour, based on experience. This is a unique opportunity to join a purpose-driven organization and play a crucial part in a globally significant project. If you are an experienced Geospatial MLE who is motivated by high-impact work and thrives in a remote, collaborative setting then please apply via the link provided. Keywords Senior Geospatial Machine Learning Engineer, Contract, Remote, W2, Python, PyTorch, TensorFlow, Geospatial Data, Satellite Imagery, AI, Machine Learning, Deep Learning, GIS, GDAL, Rasterio, Shapely, Fiona, GeoPandas, QGIS, Dagster, Climate Tech, Climate Action, Infrastructure Resilience, Data Scientist, Full Stack ML, Project Lead, Remote Job, USA. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.