About The Opportunity A fast-scaling AI-driven enterprise technology firm, 8bit.ai builds mission-critical deployed AI solutions for global defense, logistics, and industrial automation clients. We embed engineers directly with customer teams to design, deploy, and maintain real-time edge-AI systems—bridging the gap between cutting-edge ML research and operational environments.

Our Forward Deployed

Engineers are the technical linchpins who translate prototype models into rugged, field-tested systems that perform under pressure.

Role & Responsibilities Deploy, debug, and optimize machine learning models in constrained edge environments—on-prem, air-gapped, or offline-capable systems.

Partner directly with client engineering teams to integrate AI pipelines into existing IT/OT infrastructures using Docker, Kubernetes, and embedded Linux.

Develop and maintain robust SDKs, monitoring tools, and health-check scripts to ensure ML model reliability under real-world conditions.

Translate ML research outputs (TensorFlow/PyTorch models)



into production-grade C++/Python inference services with low-latency, high-throughput performance.

Conduct on-site system audits, performance benchmarking, and root-cause analysis for model drift or hardware bottlenecks.

Document deployment playbooks, configuration standards, and client handoff materials to enable sustainable client ownership.

Skills & Qualifications Must-Have Python

TensorFlow

PyTorch

Docker

Kubernetes

Linux

SDK Development

Edge AI Preferred C++

ONNX Runtime

MLOps Tools (MLflow, Kubeflow) Benefits & Culture Highlights Work on high-impact, classified and unclassified national infrastructure projects with real-world consequences.

Rapid-track technical ownership—lead deployments from day one and present directly to client CTOs.

Hybrid travel model: 60% on-site client locations across India, 40% Bangalore HQ with flexible scheduling.

Skills: python,algorithms,system design,agentic ai

📌 Forward Deployed Engineer (Hyderabad)
🏢 8bit.ai
📍 Hyderabad