• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 12th Jul 2024

Highly proficient in Golang or Python and the respective geospatial libraries associated with each (i.e., GoDAL/GDAL, Rasterio, Pyproj, PDAL, PySTAC, etc.)
Hands on experience developing HTTP APIs (Open API, REST, gRPC, and/or GraphQL)  
Experience with processing UAV (drone) or satellite imagery for modeling and analysis
Experience with cloud-based machine learning platforms (i.e., AWS Sagemaker , Vertex AI, etc.) and familiarity with data science practices, tools, and libraries like Jupyter Notebooks, TensorFlow, PyTorch, Scikit-Learn, Pandas, etc.
Demonstrated experience with Continuous Integration, Continuous Delivery (CICD) concepts and applications like GitHub Actions, Argo, etc.
Proven interest/curiosity in agriculture, life sciences, bioinformatics, biochemistry, environmental sciences, biology, or other STEM related disciplines
Experience working with varied geospatial datasets and formats like WKT, GeoJSON, cloud-optimized GeoTIFF(COGs), OGC services, etc.
Familiarity with Spatio Temporal Asset Catalog (STAC) specification and implementations
Experience building Software Development Kit (SDKs) that advance the adoption of specific software or resource capabilities
Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform.
Experience with standard cloud authentication and authorization patterns