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AI & ML · India
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Hire PyTorch Developers

Deep learning engineers building and fine tuning PyTorch models for vision, NLP, and audio, with TorchServe, ONNX, and quantised inference in production.

Skill Set

What our PyTorch Developers know cold

Every engineer you hire from RG INSYS is benchmarked on these areas before they touch your codebase.

PyTorch Core

  • PyTorch 2.x with torch.compile
  • TorchScript and ONNX export
  • Distributed: DDP, FSDP, DeepSpeed
  • Mixed precision (AMP) and quantisation

Modelling

  • Transformers (encoder, decoder, encoder-decoder)
  • CNNs, ViT, ResNet, EfficientNet
  • Diffusion models (Stable Diffusion, Flux)
  • Audio: Whisper, Wav2Vec2, EnCodec

Fine Tuning

  • LoRA, QLoRA, PEFT
  • Hugging Face Trainer + Accelerate
  • RLHF / DPO / ORPO
  • Instruction tuning datasets and curation

Serving

  • TorchServe, vLLM, TGI
  • Triton Inference Server with ensembles
  • ONNX Runtime + TensorRT
  • Cost optimised GPU autoscaling
What They Build

Real work delivered, not hypothetical

Sample Engagements

Recent PyTorch Developer work at RG INSYS

Fine tuned Llama 3 8B with QLoRA for a legal research startup hitting 91% answer accuracy on domain benchmark.
Built a custom OCR model in PyTorch for an insurance claims pipeline with 99.1% field level accuracy.
Shipped a vLLM hosted inference endpoint serving 200 RPS at P95 < 280ms on A10 GPUs.
Engagement Models

Three ways to hire your PyTorch Developer

Switch models anytime. No long lock ins. 2 week trial available.

Hourly
From $55/hr

For short tasks, code reviews, urgent fixes, or proof of concepts.

  • Minimum 20 hours/week
  • Weekly time tracking and reporting
  • Cancel anytime with 1 week notice
Dedicated Team
From $12,500/month

PyTorch Developer + supporting roles (frontend, backend, DevOps, QA) under one tech lead.

  • 2 to 8 engineers + tech lead included
  • Sprint planning every 2 weeks
  • Code reviews and CI/CD pipelines included
Why RG INSYS

A PyTorch Developer who codes with AI from day one

Hiring a PyTorch Developer from RG INSYS is different from a typical staffing engagement. Every engineer on our bench uses Claude Code, Cursor IDE, and GitHub Copilot daily. That is not a sales line, it is a hard requirement on day one of the contract.

For you that means three things. Faster shipping, the AI handles the boilerplate so the engineer focuses on architecture, edge cases, and your domain. Lower cost, you get senior India based engineers at the rate of UK or US juniors. Higher quality, AI generated tests run on every PR before human review, and our internal benchmarks show roughly 2.5× to 3× output uplift on production codebases.

If the engineer is not the right fit in the first 2 weeks you pay nothing for the trial period and we replace them at no cost. NDAs are signed before any disclosure and full IP is assigned to you, the code lives in your repos under your accounts.

FAQ

Common questions about hiring a PyTorch Developer

How quickly can a PyTorch Developer start?

Most PyTorch Developer roles ship a 2 to 3 person shortlist within 48 hours of a signed NDA. The chosen engineer typically starts within 5 to 10 working days, depending on your interview pace.

What level of seniority do you provide?

Our default is mid to senior (4+ years of production experience). We also have principal engineers for architecture work and tech leads available on request, both at higher monthly rates.

Can the PyTorch Developer work in our timezone?

Yes. Engineers commit to a flexible 8 hour day with at least 4 hours overlap with your team. UK, EU, US East/West, UAE, and Australia are all supported.

Do you replace the engineer if it's not a fit?

Yes. The first 2 weeks are a paid trial. If you decide not to continue, you pay nothing for the trial and we replace the engineer at no cost.

Who owns the IP and the code?

You do. Every engagement includes a full IP assignment clause and an NDA. The code lives in your repos, on your infrastructure, under your accounts. We do not retain copies after handover.

What happens if the engineer is on leave or sick?

Planned leave is communicated 2 weeks in advance and is covered by a backup engineer briefed by the primary. Unplanned sickness is handled the same way. You never pay for time the engineer isn't producing.

Free shortlist within 48 hours

Ready to hire your
PyTorch Developer?

Tell us the role, stack, and timezone. We'll send a 2 to 3 person shortlist with CVs, GitHub, and rates within 48 hours. Free 2 week trial available.

Typical response within 4 business hours · NDA on request before any disclosure

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