Job Summary:We are seeking a skilled and innovative Data Scientist with a strong foundation in hyperparameter optimization, TensorFlow Lite, and IoT-based electronics. The ideal candidate will have experience in building and deploying efficient machine learning models on resource-constrained embedded devices. You will work closely with hardware, firmware, and software teams to optimize ML pipelines and enable intelligent edge solutions. Key Responsibilities:Develop and deploy ML models for embedded/IoT devices using TensorFlow Lite or similar frameworks.Design and run experiments to optimize model performance through hyperparameter tuning (Grid Search, Random Search, Bayesian Optimization, etc.).Work with cross-functional teams to integrate ML models into embedded systems and validate them on target hardware.Preprocess and analyze sensor/electronic data from IoT devices.Conduct performance evaluations (accuracy, latency, memory footprint) and ensure models meet hardware constraints.Automate training, validation, and deployment workflows using scripting and ML tools.Stay updated with emerging trends in TinyML, on-device learning, and efficient model architectures. Required Qualifications:Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field.3+ years of experience in applied machine learning or data science roles.Proficiency in Python, TensorFlow, and TensorFlow Lite.Strong understanding of hyperparameter optimization techniques and experience with relevant tools/libraries (Optuna, HyperOpt, Ray Tune, etc.).Good understanding of edge AI constraints (compute, memory, power consumption).Experience in preprocessing data from sensors such as accelerometers, gyros, temperature, etc.Familiarity with embedded development tools and debugging. Preferred Skills (Nice to Have):Knowledge of C/C++ for embedded systems.Experience with TinyML and model quantization/pruning techniques.Exposure to platforms like Edge Impulse, TensorFlow Lite Micro, or Arduino ML.Understanding of communication protocols (BLE, MQTT, LoRa, etc.). What We Offer:Work on cutting-edge AI for IoT projects with real-world impact.Collaborative and growth-oriented team environment.Competitive salary and benefits package.
