Data Science Internship By SatSure Analytics India
Data Science Internship By SatSure Analytics India
SatSure, a deep-tech decision intelligence company, is offering a full-time internship opportunity for data science enthusiasts in its Earth Observation (EO) Data Team. With a vision to make geospatial insights accessible and impactful, especially for the developing world, SatSure integrates cutting-edge technologies such as Earth Observation, AI/ML, and big data. Interns will work on a variety of innovative use cases—ranging from crop classification and land use detection to satellite image translation and anomaly detection. The role involves both applied research and real-world product deployment, making it ideal for candidates passionate about large-scale machine learning applications that drive social and economic transformation.
Documents Required
Applicants submit the following documents:
  • Resume/CV
  • Valid Email ID
  • Mobile No.
  • Study Mark Sheets
  • Certificates (If you have)
  • Cover letter (If applicable)
  • Eligibility Criteria
    Applicants must meet the following criteria:
  • Candidates must be pursuing M.Tech, MS (Research), or PhD in CS, EE, EC, Remote Sensing, or related fields.
  • Undergraduate and Dual-Degree students with strong research experience may also be considered.
  • Candidates should have proven experience or research exposure in areas like computer vision, NLP, ML theory, or optimization.
  • Proficiency in Python and experience with ML libraries like PyTorch is essential.
  • Strong communication skills and the ability to work in collaborative research environments are required.
    Note: This internship is exclusively available in India. Specifically, in Bangalore (Karnataka).
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    Responsibilities
    Interns will:
  • Collaborate with scientists and engineers to solve real-world EO-based problems using machine learning.
  • Propose hypotheses and develop end-to-end ML solutions from data collection to validation.
  • Design and implement scalable models for geospatial data using CNNs, Transformers, GANs, or other advanced techniques.
  • Maintain code quality and contribute to technical documentation and publications.
  • Identify relevant evaluation metrics and ensure consistent model performance.
  • Push the boundaries of research and innovation through patents and conference publications.
  • How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Prepare the necessary documents as specified in the application requirements.
    8. Upload these documents in the designated sections of the application form.
    9. Before submitting, review all the information you have provided.
    10. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Stipend

    Data Science Internship By SatSure Analytics India
    SCHOLARSHIP PROVIDER
    SatSure Analytics India
    APPLICATION DEADLINE
    20 November
    EDUCATION LEVEL
    Masters
    PHD
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    SatSure, a deep-tech decision intelligence company, is offering a full-time internship opportunity for data science enthusiasts in its Earth Observation (EO) Data Team. With a vision to make geospatial insights accessible and impactful, especially for the developing world, SatSure integrates cutting-edge technologies such as Earth Observation, AI/ML, and big data. Interns will work on a variety of innovative use cases—ranging from crop classification and land use detection to satellite image translation and anomaly detection. The role involves both applied research and real-world product deployment, making it ideal for candidates passionate about large-scale machine learning applications that drive social and economic transformation.