AddressCompany Overview:
KaleidEO, a subsidiary of SatSure, is investing to launch its own fleet of earth observation satellites.We are seeking an Image Processing wizard to own and nurture the logical pipeline that delivers the best geospatial images and products.
SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full stack company from India, having satellites in space to deliver insights on ground.
Position Overview:
We are looking for a motivated ML Operations Intern to join our team .Candidates who are passionate about machine learning, and have a strong desire to learn and contribute to real-world projects, this is a right opportunity for you.
As a ML Operations Intern, you will work closely with our experienced team of engineers and researchers to develop, implement, and optimize deep learning algorithms and create robust CI/CD pipelines.
Responsibilities:
- Collaborate with cross-functional teams to understand project requirements and objectives.
- Assist in the design and development of computer vision and deep learning algorithms and models.
- Implement and optimize image processing pipelines for various applications.
- Work with large datasets, ensuring data quality and integrity for training and testing purposes.
- Conduct literature reviews and stay abreast of the latest advancements in ML Ops frameworks.
- Collaborate in the evaluation and testing of algorithms, providing feedback and recommendations for improvements.
- Document research findings, methodologies, and code for future reference.
Qualifications
Must-have:
- Currently pursuing a Bachelor's, Master's in Computer Science, or a related field.
- Strong programming skills in languages such as Python, C++.
- Should have their own github link of personal projects.
- Familiarity with deep learning libraries and ML frameworks (TensorFlow, PyTorch, CUDA, Docker, Git, Streamlit, Sagemaker, Azure etc.).
- Solid understanding of image processing techniques and computer vision fundamentals.
Good to Have:
- Knowledge of machine learning concepts and algorithms is a plus.
- Knowledge of Geospatial Data is a plus.
- Handling Big Data using Geospatial ML frameworks (Apache Hadoop,Spark) etc.
- Excellent problem-solving skills and the ability to work collaboratively.
- Strong communication skills and the ability to present findings to both technical and non-technical audiences.
Benefits:
- Exposure to cutting-edge projects at the forefront of technology.
- Working on edge computing technology (Future of space based computations).
- Working on solving real world space computational problems.
- Opportunity to work on a potential project for presenting in prestigious conferences.
- Opportunity to work alongside experienced professionals and researchers.
- Networking opportunities within the technology industry.
- Potential for a full-time position based on performance and business needs.
