Embedded AI Data Scientist
SANAARI SOFTWARE SOLUTIONS PRIVATE LIMITED
7 - 12 years
Bengaluru
Posted: 01/03/2026
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Job Description
**Experience:*7-12 Years
**Duration:** Permanent
**Location:** Bangalore
**Shift:** General shift
please immediately send your profile to apply@sanaari.net.
**Job Description:*
** Embedded AI Data Scientist **
Key Responsibilities
- Deploy and optimise machine learning models for embedded systems and edge devices
- Implement efficient inference pipelines in Rust using any of the following Burn, Candle,tchrs, RustBERT, nnl, rustorch, rustyml framework
- Reduce model size and computational requirements through quantisation, pruning, and distillation
- Minimise latency in real-time systems whilst maintaining model performance
- Profile and optimise memory usage and power consumption for battery-powered devices
- Collaborate with robotics engineers to integrate ML models into hardware platforms
- Benchmark performance across different embedded processors and accelerators
Essential Requirements
- Strong data science background with practical ML model development experience
- Proficiency in Rust for systems programming and embedded applications
- Strong Python proficiency enabling quick experimentation and prototyping.
- Experience with any of: Burn, Candle, tchrs, RustBERT, nnl, rustorch, rustyml or willingness to work extensively with Rust-native deep learning frameworks
- Experience with model optimisation techniques (quantisation, pruning, knowledge distillation)
- Understanding of embeddings and their efficient representation
- Knowledge of edge ML frameworks and deployment strategies
- Experience with robotics platforms or embedded Linux systems
- Understanding of hardware constraints (memory, compute, power)
- Experience with cloud platforms such as Azure or AWS.
Qualifications
Desirable Skills
- Experience with ARM processors, microcontrollers, or specialised ML accelerators
- Knowledge of ROS (Robot Operating System) or similar robotics middleware
- Familiarity with sensor fusion and real-time processing
- Experience with wearable device development
- Understanding of battery management and power-efficient computing
- Contributions to Rust ML ecosystem or embedded Rust projects
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