Softpath Technologies

KEY RESPONSIBILITIES :- Possess fundamental knowledge in one specialized discipline.- Responsible for quality and timeliness of result for a portion of project/process.- Make more complex technical decisions independently.- Implement checks and balances independently to minimize impact of mistakes.- Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionalityPREFERRED EXPERIENCE :- Must be proficient in Python and at least one other language Experience with C/C++, Java, C#, Bash, PowerShell preferred- Experience implementing functionality above readily available libraries, as well as implementing existing libraries.- Experience building/training models and implementing solutions using PyTorch, Tensorflow, and TorchRL- Knowledge of Large Language models, Multimodal models, and general computer vision techniques a plus. - Experience with Database interactions (SQL, etc.), Windows and Linux (Debian, RHEL) troubleshooting, as well as QA and CI workflows would be an asset.- Strong understanding & Hands on exp. with Windows OS internals, device manager,- Hands on with issue debugging skills, issue isolation with Windows kernel, driver module level.- Good understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS will be added advantage.- Analytical, problem-solving, and critical thinking skills required.- Objected Oriented Programming experience of some kind required.- Good verbal & written communication skill is must.- Good attitude, result driven & ability to deliver on next gen technologyACADEMIC CREDENTIALS :- Bachelor engineering degree in CS/ECE with 2 - 3 years working experience or above- Masters engineering degree in CS/ECE with 1-2 years of working experience LOCATION :Hyderabad : Mandatory Skills :1. Programming & Scripting- Python (must-have)- One additional language (C/C++ /Java/C#/Bash/PowerShell)2. Machine Learning/Deep Learning- Experience with PyTorch or TensorFlow (at least one)- Experience building/training ML models3. System/OS Expertise- Windows OS internals- Windows kernel & driver-level debugging- Hands-on with Device Manager, driver modules4. Hardware Knowledge- Understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS / VBIOS5. Databases- SQL/Database interaction6. OS Environments- Experience with Windows & Linux (Debian/RHEL)7. Software Engineering- Object-Oriented Programming (OOP)- Troubleshooting, testing, debugging- QA & CI workflow knowledge8. Additional ML Knowledge (Preferred but often required in AI roles)- Large Language Models (LLM)- Multimodal models- Computer Vision basics (ref:hirist.tech)