Job Role : Machine Learning/Computer Vision Engineer

Exp Level : 3 to 4 Years
Location : Pune
Package : 10 to 15 LPA
Notice Period : Immediate to 15 Days

Key Responsibilities :
Design and deploy integrated detection, segmentation, and multi-object tracking (MOT) frameworks to provide a reliable, real-time world model for the autonomy stack.
Engineer specialized algorithms for long-range and low-light scenarios, focusing on sub-pixel target extraction and signal recovery in high-noise or cluttered environments.
Develop and maintain scalable data annotation and curation pipelines, ensuring consistency, traceability, and high dataset quality for training and evaluation.
Define annotation guidelines, validation protocols, and dataset quality metrics.
Interpret, analyze, and optimize deep learning architectures including model pruning, quantization, and structural modifications for performance, accuracy, and deployability.
Perform hyperparameter tuning and model selection, balancing accuracy, latency, and robustness for deployment constraints.




Optimize models for real-time deployment on embedded platforms (e.g., NVIDIA Jetson AGX Orin), ensuring efficient utilization of compute, memory, and power.
Apply acceleration techniques such as TensorRT optimization, CUDA kernels, and mixed-precision inference.
Conduct rigorous validation, benchmarking, and error analysis using both simulated and real-world datasets.
Debug and resolve perception pipeline issues related to data quality, model performance, and system integration.

Required Technical Skills :
Robust foundation in computer vision and machine learning algorithms (classical + deep learning).
Proven experience solving challenging perception problems such as long-range detection, low-light imaging, and small object detection.
Ability to understand, modify, and optimize neural network architectures (CNNs, transformers, hybrid models).
Experience with hyperparameter tuning, experiment design, and performance trade-off ana

📌 Senior ML Engineer (Pune)
🏢 Uniwave Software
📍 Pune