Data Science Intern

Seeking for a passionate and driven Data Science Intern with expertise in Computer Vision, Deep Learning, and Machine Learning to perform in-depth research, data analysis, and model development, contributing to the creation of innovative solutions

About SatSure

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.

Responsibilities

• To conduct Literature surveys research and review relevant academic papers to stay updated with the latest advancements in Computer Vision, Deep Learning, and Machine Learning.
• To perform exploratory data analysis to understand datasets, identify patterns, and prepare data for model training.
• To develop and train deep neural networks, optimizing them to meet specific performance metrics and project requirements.
• To work closely with senior data scientists and other team members to contribute to ongoing projects and initiatives.
• To maintain detailed documentation of your research findings, data analysis, and model development processes.

Qualifications

• Have completed B.Tech and currently pursuing or recently completed a Masters degree in Computer Vision, Deep Learning or Machine Learning.

Must have 

• Hands-on experience with training deep neural models.
• Previous internship or Certifications or completed training courses in relevant field.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and scikit-learn.
• Strong analytical and problem-solving skills.
• Ability to read, understand, and implement research papers.
• Familiarity with data visualization tools and techniques

Good to have

• Self-motivated and eager to learn.
• Ability to work both independently and as part of a team.
• Strong organizational and time management skills

Benefits

• Exposure to real-world business challenges and strategic decision-making.
• Opportunity to work with experienced professionals in a collaborative environment.
• Mentorship from experienced professionals in the field.
• Exposure to cutting-edge technologies and tools.
• A collaborative and inclusive work culture.

Interview Process:

• Introductory call
• Interview rounds (ideally up to 2-3 rounds)
• Culture Round / HR round