Role & responsibilities

Build and evaluate machine learning models for real-world systems in defence, energy, and critical-infrastructure settings. You will:
Build working baselines in one core area Computer Vision, NLP, Generative AI, Time Series, or classical ML and iterate toward production-grade quality.
Investigate where and why models fail: design controlled experiments, measure failure modes honestly (including negative results), and report what the evidence actually shows.
Source, justify, and work with appropriate datasets, and establish sound evaluation methodology — baselines, metrics, ablations — rather than one-off results.
Turn research findings into reliable, deployable components that enterprises and government partners can own and trust.
Write up your work clearly — hypothesis, method, results, limitations, next steps — for both technical and non-technical readers.

Preferred candidate profile

Must-have:
Robust Python; able to write, debug, and reason about code independently.
Solid ML fundamentals — not just calling APIs, but understanding how the algorithms work, what they assume, and where they break.
Genuine measurement discipline:



you evaluate with proper baselines and metrics, and report results honestly even when they are unflattering.
Real depth in at least one area (CV / NLP / GenAI / Time Series / classical ML) rather than shallow breadth across all.
Curiosity and the instinct to trace unexpected behaviour back to its root cause.

Nice-to-have:
Exposure to a relevant domain: security / OT-ICS, earth observation, industrial or sensor time series, or anomaly detection.
Practical MLOps (experiment tracking, reproducibility, containerization), or RAG / agentic systems experience.
Research experience — papers, ablation studies, or rigorous benchmarking.

Perks and perks
6–7 month internship working on a real, research-level product — not toy tasks.
Monthly stipend: 10,000–15,000.
Path to full time conversion based on performance, at 6–7 LPA.
Direct mentorship from the research team.
Hands-on work in sovereign / critical-infrastructure AI across defence, energy, and critical infrastructure.
Internship completion / experience certificate.

📌 Data Scientist Intern Jaipur
🏢 Cortiqo Labs
📍 Jaipur