Softpath Technologies - Artificial Intelligence/Machine Learning Engineer - LLM Models

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 functionality

PREFERRED 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 technology

ACADEMIC 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 models

3. System/OS Expertise

- Windows OS internals

- Windows kernel & driver-level debugging

- Hands-on with Device Manager, driver modules

4. Hardware Knowledge

- Understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS / VBIOS

5. Databases

- SQL/Database interaction

6. OS Environments

- Experience with Windows & Linux (Debian/RHEL)

7. Software Engineering

- Object-Oriented Programming (OOP)

- Troubleshooting, testing, debugging

- QA & CI workflow knowledge

8. Additional ML Knowledge (Preferred but often required in AI roles)

- Large Language Models (LLM)

- Multimodal models

- Computer Vision basics