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Open nowPosted 451 days ago

AI/ML Developer

Spacezoneindia8 open roles

Where
Chennai, India
Work mode
On site
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Your applicationOpen nowAI/ML DeveloperSpacezoneindia · Chennai, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Spacezoneindia's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 451 days ago

The posting

Job Summary

  • We are seeking an enthusiastic AI/ML Developer to work on advanced aerospace and defense projects involving Machine Learning, Deep Learning, and Computer Vision, specifically in missile systems, rocket telemetry, and avionics intelligence. The role involves developing and fine-tuning AI models for aerospace data, building lightweight APIs using FastAPI or Flask, and collaborating on real-world AI-powered avionics systems. This is a unique opportunity to contribute to next-generation space and defense technologies. Skills: Python AI | ML | Deep Learning | Image Processing / Computer Vision Tools: NumPy, Pandas, scikit-learn, Keras, TensorFlow, PyTorch, OpenCV, FastAPI / Flask Key Responsibilities • Assist in training, testing, and improving ML/DLmodels. • Help prepare & clean datasets (text, image, sensor). • Contribute to lightweight APIs / demo apps (FastAPI/Flask) to showcase models. • Document experiments and share progress with mentors. Eligibility • Pursuing or recently completed BCA / MCA / B.Tech / M.Tech / B.E. in a related field • Familiarity with TensorFlow / PyTorch / Keras (or willing to learn fast) • Strong knowledge of Python + ML & DL concepts • Bonus: Projects in LLMs, CV, Kaggle, or GitHub repos. • Prior experience or knowledge in avionics / aerospace systems (rockets, satellites, missiles) is preferred
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