WE MAKE
BIG IDEAS HAPPEN
Join Us for the Ride
LOCATION
We’re based in Hyderabad innovation capital of Geospatial World
Indgeos Geospatial is a cutting-edge technology dedicated to providing innovative AI-based geospatial solutions. Our expertise lies in harnessing advanced algorithms to transform spatial data into actionable insights. We strive to empower businesses precise mapping and analysis tools that enhance decision-making processes. At Indgeos Geospatial, we are committed to pushing the boundaries of technology to deliver exceptional value to our clients.
JOB OPENINGS
Changing the future of MAPS
Indgeos is revolutionizing the way we interact with maps by harnessing cutting-edge technology innovative solutions. Our platform not only enhances navigation but also transforms how visualize and understand geographic data. As we move forward, Indgeos is committed to making mapping more accessible, interactive and insightful, paving the way for smarter, more connected communities. Join us as we explore the future of mapping and its endless possibilities.
ARTIFICIAL INTELLIGENCE RESEARCHER
Hyderabad, India
An AI Engineer is responsible for designing, developing, and deploying robust machine learning models and artificial intelligence systems to solve complex business problems. They collaborate with data scientists to transition experimental models into scalable production environments using languages like Python and frameworks such as TensorFlow or PyTorch. The role involves building efficient data pipelines and optimizing algorithms to ensure high performance and reliability across large datasets.
​DEEP LEARNING ENGINEER
Hyderabad, India
A Deep Learning Engineer designs and implements sophisticated neural networks, such as CNNs, RNNs, and Transformers, to solve complex problems involving unstructured data like images, audio, and text. They are responsible for the entire model lifecycle, from performing advanced data augmentation and preprocessing to selecting the optimal architecture and loss functions. Using frameworks like PyTorch or TensorFlow, they conduct rigorous training and hyperparameter tuning to maximize model accuracy while managing GPU resources efficiently. The role requires a strong grasp of the underlying mathematics of backpropagation and optimization to troubleshoot and refine deep architectures. Finally, they collaborate with DevOps teams to deploy these models into production, ensuring they meet strict performance and latency requirements.