About SatSure
SatSure is a deep tech, decision intelligence company that leverages Earth-Observation (EO) data to solve crucial problems at the nexus of agriculture, finance, infrastructure, utilities, aviation, energy, and climate, to name a few. Our goal is to create an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
Description:
As a Machine Learning Intern, your primary responsibility is to design, build, and maintain scalable ML/DL workflows across SatSure’s products. You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to build these workflows.
Key Responsibilities:
- Implementation Focus: Implementing model architectures and training workflows designed by our Data Science (DS) team.
- Scalability & Optimization: Optimize ML/DL workflows for scalability, handling large-scale data challenges, and improving cost and time efficiency.
- Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders.
Key Qualifications:
- Educational Background & Experience: Bachelor’s or Master’s degree in Computer Science (or related discipline) with 1 year of experience in building and scaling end-to-end ML/DL pipelines.
- Technical Expertise: Proficient in Python, ML/DL fundamentals, and PyTorch for designing, fine-tuning, and deploying computer vision pipelines (e.g., object detection, image segmentation).
- Problem-solving & Workflow Management: Skilled in rapid prototyping, handling large datasets, version control (Git), and writing test cases for ML/DL workflows.
- Collaboration & Communication: Strong analytical abilities, excellent teamwork, and communication skills to thrive in cross-functional environments.
Good to have(Bonus points):
- Geospatial Expertise: Proficient in geospatial libraries like Rasterio, Xarray, Geopandas, and GDAL, with experience in working with raster and vector data.
- Distributed Computing & Workflow Management: Knowledge of distributed computing frameworks (e.g., Dask) and familiarity with workflow management tools such as Airflow or MLflow.
- Cloud Platforms: Experience working with public cloud platforms, including AWS or GCP.
This role is ideal for individuals passionate about building robust, scalable ML/DL systems to enable organizations to leverage the power of geospatial information for various applications, including urban planning, environmental monitoring, transportation, agriculture, and emergency response.
Why should you join us?
- Cutting-Edge Projects: Work on innovative geospatial and AI/ML solutions addressing real-world challenges.
- Skill Development: Learn from industry experts in a supportive, growth-focused environment.
- Meaningful Impact: Contribute to projects that drive global change in agriculture, urban planning, and disaster management.