TL;DR

Staff Software Ml Engineer (Analytics): Developing and optimizing AI-driven system performance and driver assistance technologies with an accent on system optimization, embedded platforms, and machine learning model enhancement. Focus on building tools and frameworks for IoT device deployment, improving driver monitoring algorithms, and ensuring production stability.

Location: Bangalore, India (Onsite)

Company

%hirify_global% leverages AI, Deep Learning, and Edge Computing to deliver transformative transportation safety solutions deployed in thousands of vehicles worldwide.

What you will do

Develop tools, frameworks, and reporting mechanisms for system optimization.
Streamline software deployment across IoT devices using GPU/CPU/DSPs.
Enhance data platforms and optimize machine learning models.
Improve driver monitoring and assistance algorithms to boost efficiency and report KPIs.
Manage production inquiries and maintain application stability.
Communicate complex technical results to diverse audiences.

Requirements

Location: Must be able to work onsite in Bangalore, India.
B.E/B.Tech or M.E/M.Tech degree with 6+ years in software system optimization.
Proficiency in C/C++, OpenGL, CUDA, Python, and ML frameworks like Caffe, TensorRT, OpenCL, SNPE, OpenVino, ONNX.
Experience with embedded platforms, build systems, and Jenkins.
Strong analytical skills, attention to detail, and creative problem-solving mindset.
Knowledge of statistics, probability, machine learning, and computer vision concepts.

Culture & Benefits

Inclusive and diverse work environment.
Equal opportunity employer with no discrimination.
Focus on innovation and growth in AI and IoT domains.