Forward Deployed Engineer in Hyderabad, India - Jobeax
Vacancy description
Forward Deployed Engineer in Hyderabad, भारत
8bit.ai
HybridMix of office and remote
On-siteWork from the office
Rs 10 - 25 lakhs p.a.
Hyderabad, भारत
About the Opportunity A fast-scaling AI-driven enterprise technology firm, https://jobeax.com/link/Z11ervWk39OSiwes 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.
Fast-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.
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