LAT Aerospace

Aerospace Data and Machine Learning Engineer

Bangalore
Python API Machine Learning Deep Learning
Description

Aerospace Data & ML Engineer

Department: Perception & Autonomy

Location: Bangalore

Employment Type: FullTime

We're Hiring: Aerospace Data & ML Engineer

Full time | Core team

LAT Aerospace | Perception & Autonomy

At LAT Aerospace, we’re building India’s first clean-sheet hybrid-electric STOL aircraft and a next-generation autonomy stack powering aircraft for complex missions. Our team is kicking off a new chapter — developing the full flight-control, obstacle-avoidance, GNSS-denied navigation, and swarm-coordination layers that will define LAT’s autonomy architecture.

We’re hiring an Aerospace Data & ML Engineer to build the pipelines, labeling systems, analytics tooling, and LLM interfaces that transform raw logs into flight intelligence.

What you’ll do

  • Organize and label flight logs, sim logs, design logs, sensor data, and video data into structured datasets.

  • Build pipelines to clean, parse, index, and query large volumes of aerospace telemetry.

  • Train LLM-based models to interpret logs and generate performance metrics, summaries, and fault signatures.

  • Develop internal tools for engineers to search, visualize, and analyze logs quickly.

  • Work with autonomy, GNC, and flight-test teams to define which metrics and behaviors must be extracted.

What we're looking for

  • Strong Python skills and experience with data processing, time-series analysis, or telemetry logs.

  • Experience training or fine-tuning LLMs or ML models.

  • Ability to work with large, messy, multimodal datasets.

  • Clear systems thinking — able to design pipelines that make engineers faster.

Why LAT?

  • Core-team role building the autonomy brain of India’s most ambitious aerospace startup.

  • Ownership, speed, and the opportunity to define a new class of systems from scratch.

LAT Aerospace
LAT Aerospace

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