Machine Learning Engineer (Mid-Level)
$10,000–$25,000 year
Remote · India
Job Summary
Lead ML model lifecycle from research to deployment for an autonomous sensing AI platform. Build and deploy deep learning models on GCP and edge devices for real-time inference, fuse multi-modal sensor inputs, implement CNNs and Vision Transformers, design sensor-fusion methods, optimize low-latency production deployment, collaborate with software/hardware teams, and create scalable pipelines for training, validation, and model improvement. Ensure models are robust, interpretable, and secure; leverage Python and C++ to enable performance-critical AI in mission-critical systems. Remote India-based role with compensation aligned to Indian market standards; opportunities for equity in the future.
Required Qualifications
- Deep expertise in TensorFlow and PyTorch
- Hands-on experience with CNNs, ViTs, and DL architectures
- Experience with multi-modal ML and sensor fusion
- Cloud deployment skills (GCP preferred)
- Edge AI know-how (NVIDIA Jetson, TensorRT, OpenVINO)
- Proficiency in Python and C++
- Strong computer vision and object detection experience
- Ability to work with limited datasets (generating synthetic data) and data augmentation
- 2-4 years of relevant experience (Nice to have)
- MLOps basics (CI/CD, model versioning, monitoring)
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