Machine Learning Intern
Machine Learning Intern
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Job Description
About SatSure
SatSure is a deep tech decision intelligence company that leverages EarthObservation (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 SatSures products. You will work closely with crossfunctional 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 largescale data challenges and improving cost and time efficiency.
- Collaboration and Communication: Collaborate with crossfunctional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings insights and technical solutions effectively to both technical and nontechnical stakeholders.
Key Qualifications:
- Educational Background & Experience: Bachelors or Masters degree in Computer Science (or related discipline) with 1 year of experience in building and scaling endtoend ML/DL pipelines.
- Technical Expertise: Proficient in Python ML/DL fundamentals and PyTorch for designing finetuning and deploying computer vision pipelines (e.g. object detection image segmentation).
- Problemsolving & 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 crossfunctional 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
- CuttingEdge Projects: Work on innovative geospatial and AI/ML solutions addressing realworld challenges.
- Skill Development: Learn from industry experts in a supportive growthfocused environment.
- Meaningful Impact: Contribute to projects that drive global change in agriculture urban planning and disaster management.
Required Experience:
Intern
Employment Type
Intern
