About the Role

- We are seeking Data Scientists with strong foundations in signal processing, sensor fusion, and AI/ML modeling for real-world hardware-integrated environments.

- The ideal candidate will collaborate closely with quantum hardware and drone engineering teams to analyze, model, and fuse magnetometer, IMU, and UAV telemetry data for precision navigation and anomaly detection.

- You will design and implement data pipelines, fusion models, and inference architectures that translate complex multi-sensor datasets into actionable insights and control strategies.

What You'll Do?

Sensor Intelligence & Data Fusion:

- Build scalable data ingestion, preprocessing, and cleaning pipelines for magnetometer, IMU, and UAV telemetry data.

- Develop and train physics-informed ML models for trajectory estimation, drift correction, and anomaly detection.

- Implement Kalman/Particle filters and deep sensor fusion frameworks (LSTM, Transformer, or Graph-based).

- Fuse magnetic, inertial, and positional data to achieve robust localization under GPS-denied conditions.

Geospatial Analytics & Visualization:

- Generate magnetic anomaly maps and heatmaps from airborne and terrestrial survey data.

- Apply statistical analysis, clustering, and signal denoising to extract spatial patterns.

- Build internal visual dashboards for real-time data interpretation and mission replay.

Collaboration & Deployment:

- Work with hardware engineers to design data interfaces and synchronization standards for live acquisition.

- Participate in field calibration, testing, and post-mission data validation.

- Document algorithms, results, and contribute to proposal writing and IP filings.

Ideal Candidate Profile:

- B.Tech / M.Tech / Ph.D. in Data Science, Physics, Electrical/Computer Engineering, or Applied Mathematics.

- 2-8 years of experience in multi-sensor data analytics, robotics, or scientific ML.

- Proven expertise in Python, NumPy/Pandas, PyTorch/TensorFlow, Scikit-learn.

- Strong grasp of signal processing (Fourier/wavelet transforms) and noise modeling.

- Experience with geospatial tools (GeoPandas, QGIS, rasterio) and sensor fusion frameworks.

- Familiarity with Kalman filtering, Bayesian statistics, and time-series modeling.

- Prior work involving UAV telemetry, inertial data, or magnetic field mapping preferred.

Preferred Skills (Bonus):

- Experience with edge AI model deployment (TensorRT, ONNX, Jetson).

- Exposure to defense or aerospace datasets.

- Familiarity with ROS, Gazebo, or robotics simulation environments.

- Knowledge of drone dynamics, control systems, or embedded ML inference.

What We Offer?

- Opportunity to pioneer AI-driven quantum sensing and navigation technologies in India.

- Work alongside a multidisciplinary R&D team of physicists, engineers, and AI researchers.

- Access to cutting-edge datasets and hardware infrastructure.

- Competitive compensation, milestone bonuses, and IP participation opportunities.