Video Analytics Data Architect

Spatial Alphabet; Hyderabad; Hybrid; INR 3,800,000 - 5,800,000; Full time

Job summary

Spatial Alphabet in Hyderabad seeks a Video Analytics Data Architect to own end-to-end architecture—from IP67 edge camera capture through cloud dashboards. This hands-on leadership role requires delivering multiple video analytics products from concept to production and aligning with safety KPIs.

You will design edge-to-cloud pipelines, multi-tenant SaaS layers, and MLOps pipelines, mentor the team, and ensure DPDP Act 2023 and FSSAI compliance.

Qualifications

• 5–8 years of software/ML engineering experience, including 2–3 video analytics projects in production.
• Experience in kitchen, utility, industrial, or environmental-safety monitoring domains preferred.
• Strong full-stack capability: React (or equivalent) frontend and Node.js/Python backend.
• Hands-on MLOps: packaging, deployment pipelines, monitoring for drift.
• Solid grounding in computer vision fundamentals (object detection, action recognition).
• Experience designing multi-tenant SaaS architectures with auth and API design.
• Familiar with edge devices and video streaming protocols (RTSP, MQTT).

Responsibilities

• Architecture ownership: design the full edge-to-cloud pipeline including IP67 capture, edge inference, MQTT orchestration, and cloud aggregation/dashboard.
• SaaS platform development across frontend and backend for operator dashboards, aggregator API, and regulator views.
• MLOps & model lifecycle: versioning, CI/CD for model deployment, retraining pipelines, and monitoring for drift/latency.
• KPI pipelines: define data-pipeline standards for hygiene, wastage, and safety KPIs.
• Performance & reliability: target sub-2-second latency and 99.9% uptime.
• Cloud & DevOps: evaluate AWS/GCP infra for secure, multi-tenant deployment.
• Team leadership: mentor Data Scientist and interns; lead technical reviews.
• Compliance by design: align with DPDP Act 2023 and FSSAI requirements.
• Founder support: assist technical due diligence for fundraising pilots.

Skills

Full-stack development

MLOps

Computer vision

Edge computing

React

Node.js

Python

Multi-tenant SaaS

RTSP/MQTT

Tools

Docker

Kubernetes

CI/CD

AWS/GCP

Job description

Job Title: Video Analytics Data Architect

Experience: 5- 8 years

Employment Type: Full-Time

Location: Hyderabad, India (Hybrid) adjust to team preference

ROLE SUMMARY

Own the end-to-end technical architecture of the platform , from IP67 edge camera capture through computer vision inference to the SaaS dashboards used by kitchen operators, aggregators, and FSSAI regulators. This is a hands-on leadership role for someone who has already taken at least 2-3 video analytics products from zero to production, ideally in kitchen, utility, or industrial/environmental-safety domains where wastage, hygiene, and safety KPIs were the core deliverable.

KEY RESPONSIBILITIES

• Architecture ownership design the full edge-to-cloud pipeline: IP67 camera capture, RTSP ingestion, edge inference nodes, MQTT-based event orchestration, and the cloud aggregation and dashboard layer.
• SaaS platform — direct development of the web application across both frontend and backend, covering the operator dashboard, aggregator API layer, and FSSAI regulator view.
• MLOps & model lifecycle — own model versioning, CI/CD for model deployment, automated retraining pipelines, and continuous production monitoring for drift, accuracy decay, and latency.
• KPI pipelines — define and enforce data-pipeline standards for hygiene, wastage, and environmental-safety KPIs (PPE compliance, cross-contamination, spill/pest detection, portion variance, storage segregation).
• Performance & reliability — set and hold the team to technical SLAs such as sub-2-second inference latency and 99.9% system uptime.
• Cloud & DevOps — evaluate and implement AWS or GCP infrastructure for secure, multi-tenant deployment across hundreds of outlets; build containerization, CI/CD, and observability practices.
• Team leadership — lead and mentor the Data Scientist and the three interns; run technical reviews and unblock delivery.
• Compliance by design — ensure the architecture meets DPDP Act 2023 and FSSAI requirements, including edge-anonymization of facial data for the Smilometer/Trust Score modules.
• Founder support — partner with the founders on technical due diligence for fundraising conversations and enterprise or regulator pilots.

REQUIRED SKILLS & QUALIFICATIONS

• 5–8 years of software/ML engineering experience, including at least 2–3 video analytics projects taken from concept to live production.
• Prior experience in kitchen, utility, industrial, or environmental-safety monitoring domains strongly preferred — especially wastage tracking, hygiene compliance, or safety KPIs.
• Strong full-stack development ability — modern frontend framework (React or equivalent) and backend (Node.js/Python).
• Hands‑on MLOps experience: model packaging, deployment pipelines, and monitoring/alerting for model drift.
• Solid grounding in computer vision fundamentals (object detection, action recognition), even without daily hands‑on model training.
• Experience designing multi-tenant SaaS architectures — auth, role-based access, API design, dashboarding.
• Comfortable working with edge-compute devices and video streaming protocols (RTSP, MQTT).

PREFERRED / NICE-TO-HAVE

• Working knowledge of AWS or GCP — compute, storage, IoT services, and managed ML platforms.
• Experience with Docker/Kubernetes and CI/CD pipelines.
• Exposure to regulated, compliance-heavy domains such as food safety, healthcare, or utilities.
• Prior 0-to-1 or early-stage startup product-building experience.