Job Title : Lead Video Analytics Data Architect

Experience : 5 – 8 years

Employment : Type Full-Time

Reports To CTO / Co-Founder

Location : Hyderabad, India — adjust to team preference

Team Owns and leads the full technical build team (Data Scientist + 3 Interns)

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 — up-to-date 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.

Pay: ₹2,500,000.00 - ₹3,500,000.00 per year

Work Location: In person

📌 Data Architect with Video Analytics (Hyderabad)
🏢 Spatial Alphabet
📍 Hyderabad