Junior Data and AI/ML Engineer

2 days ago

Navi Mumbai, Maharashtra, India Manastu Space Full time

Junior Data and AI/ML Engineer

Manastu Space Technologies
• Full time
• Navi Mumbai, Maharashtra, India

About Manastu Space

We believe that due to limited resources on the planet, there is a need to look out for an alternative to solve our problems, and that another side is space. This option is viable only if we have low-cost and sustainable access to space.

Manastu Space is working with the exact vision of reducing the cost of access to space. We are a Space Safety and Logistics Company, using technology to save the Trillion $ Space industry from Debris Pollution in Space. We believe that the problems of Earth can be solved using Space. However, the rapid increase in the number of satellites is also increasing the risk of satellite collision, leading to Debris pollution- making space a dangerous place for other satellites as well as astronauts. To prevent this, we are developing an Agile, Safe, Efficient and Affordable Green Propulsion System with a new fuel, engine and catalyst for the engine to avoid satellite collision in space and

Roles and Responsibilities:

  1. Data Pipeline Development → Build and automate Python pipelines to convert raw data into clean, analysis-ready datasets.
  2. Data Storage & Management → Organize and maintain structured datasets (CSV, SQL) with proper versioning and backups.
  3. Feature Engineering & ML Support → Extract and validate key features to support ML model training.
  4. Visualization & Reporting → Create clear plots, dashboards, and automated reports for individual dataset and campaign summaries.
  5. Ensure all datasets meet QC standards before model fitting → Apply data health checks, handle missing data, and enforce unit consistency.
  6. Metadata Tracking → Maintain run index files linking each test with conditions, parameters, and operator notes.
  7. Documentation → Write and maintain clear documentation of data pipelines, workflows, and processing standards.
  8. Tooling & Automation → Develop helper scripts and utilities to streamline batch processing, parameter fitting, and validation.
  9. Research Support → Provide clean, well-structured datasets and analysis outputs for physics model calibration, ML experiments, and publications.

Qualifications and Experience:

  1. 0-2 years of experience in data pipeline development and applied ML
  2. Bachelor's degree in engineering
  3. Strong theoretical knowledge and hands-on experience in python, ML, AI
  4. Strong programming skills in Python (writing clean, modular, well-documented code).
  5. Proficiency in pandas, NumPy for large-scale data wrangling.
  6. Familiarity with ML workflows: preprocessing, train/test split, feature scaling, cross-validation.
  7. Good at data visualization & exploratory analysis (Matplotlib, Plotly, Seaborn).
  8. Good problem-solving mindset with a balance between practical coding and scientific thinking.
  9. Knowledge of data pipeline orchestration — even at a basic level.

This job offers an invaluable opportunity to gain practical experience and enhance your skills in ML/AI research and development. Join our team of dedicated professionals and contribute to exciting projects that push the boundaries of aerospace technology. Apply now and embark on a rewarding journey with us

Company Website and LinkedIn:

Contact information:

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