AI Research Engineer

SourcingXPress; Surat; On-site; INR 600,000 - 1,200,000; Full time

Job summary

SourcingXPress is looking for an AI Research Engineer specializing in small language models to join their team in Surat, Gujarat. This hybrid position offers the opportunity to work in a dynamic environment focused on real-time, personalized AI applications.

Your responsibilities include building scalable infrastructure for AI models, implementing training loops, and optimizing models for diverse environments. Ideal candidates will have a background in Computer Science and familiarity with Python and various AI technologies.

Qualifications

• Strong understanding of training, testing, and fine-tuning small models (≤2B parameters).
• Experience with reinforcement learning for language models (e.g., PPO, DPO).
• Proven experience working with speech models such as Whisper, xTTS, Silero.

Responsibilities

• Build scalable infrastructure to train and deploy small language models efficiently.
• Design reinforcement learning-based training loops for tuning small models.
• Optimize models for on-device inference targeting various hardware.

Skills

Training, testing, and fine-tuning small models

Reinforcement learning for language models

Experience with speech models

Solid Python skills

Experience with PyTorch

Building custom datasets

Education

BE/BTech in Computer Science/Information Technology

Job description

Job Title

AI Research Engineer – Small Language Models & On-Device AI

Location

Hybrid (India) – Surat, Gujarat

Experience

1‑2 Years

Education

BE/BTech in Computer Science/Information Technology

About VideoSDK

At VideoSDK, we’re building the real‑time intelligence layer for the next generation of applications — fast, private, multimodal, and on‑device.

Responsibilities

• Build scalable infrastructure to train, evaluate, and deploy small language models efficiently.
• Design and implement RL‑based training loops (e.g., PPO, DPO, RLAIF) for tuning small models in constrained environments.
• Work with speech systems, including speech‑to‑text, text‑to‑speech, and voice activity detection.
• Optimize models for on‑device inference – targeting mobile, browser, and edge hardware (CPU, GPU).
• Contribute to building real‑time multimodal AI pipelines combining text, audio, and video.
• Translate cutting‑edge research into clean, production‑ready code.
• Drive experiments on quantization, distillation, and architecture search for efficient deployment.

Qualifications

• Strong understanding of training, testing, and fine‑tuning small models (≤2B parameters).
• Experience with reinforcement learning for language models (e.g., PPO, DPO).
• Proven experience working with speech models such as Whisper, xTTS, Silero, etc.
• Ability to read and implement research papers quickly and effectively.
• Solid Python and PyTorch skills with an eye for clean, modular code.
• Experience with building and managing custom datasets, training pipelines, and evaluation suites.
• Familiarity with multimodal AI, particularly combining audio, text, or video.

Bonus Points

• Experience optimizing inference for mobile or edge deployments (ONNX, CoreML, TFLite, MLX, WebAssembly).
• Knowledge of state‑space models, recurrent architectures, or other attention‑free designs.
• Contributions to open‑source AI projects.
• Familiarity with latency‑constrained or real‑time systems.

Why Join VideoSDK

We’re pushing the boundaries of real‑time, personalized, multimodal AI — and doing it on the edge. You’ll work in a fast‑moving environment where research meets product, and where your work directly shapes next‑gen communication, assistants, and live experiences.

This is your chance to build the infrastructure behind real‑time, human‑like AI systems that don’t just live in the cloud — they live everywhere.