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AI & ML · India
TF

Hire Tensorflow Developers

ML engineers building and deploying custom CV, NLP, and time series models with TensorFlow, Keras, TF Serving, and modern MLOps tooling.

Skill Set

What our Tensorflow Developers know cold

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

TensorFlow Stack

  • TensorFlow 2.x and Keras 3
  • TF Serving, TF Lite, TF.js
  • TensorFlow Extended (TFX) pipelines
  • tf.data input pipelines and tf.distribute

ML Engineering

  • PyTorch interop where needed
  • Hugging Face Transformers and Datasets
  • ONNX runtime and model conversion
  • MLflow, Weights & Biases, DVC

Domains

  • Computer vision (classification, detection, segmentation)
  • NLP (NER, classification, sequence tagging)
  • Time series forecasting (LSTM, Temporal Fusion)
  • Recommender systems

Deployment

  • TF Serving on Kubernetes (GPU and CPU)
  • AWS SageMaker, GCP Vertex AI
  • Model monitoring and drift detection
  • Feature stores (Feast, Tecton)
What They Build

Real work delivered, not hypothetical

Sample Engagements

Recent Tensorflow Developer work at RG INSYS

Built a face recognition module for a UAE access control system with 99.4% accuracy and sub 200ms inference.
Delivered an NLP triage model for an insurance claims pipeline with 92% precision on field extraction.
Trained a forecasting model for a UK retailer cutting stock outs 28%.
Engagement Models

Three ways to hire your Tensorflow Developer

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

Hourly
From $50/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 $11,500/month

Tensorflow 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 Tensorflow Developer who codes with AI from day one

Hiring a Tensorflow 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 Tensorflow Developer

How quickly can a Tensorflow Developer start?

Most Tensorflow 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 Tensorflow 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
Tensorflow 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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