Lead AI Engineer

2 weeks ago

Bengaluru, Karnataka, India PetYosa Full time ₹ 90,00,000 - ₹ 1,20,00,000 per year

Bangalore | Full-Time | ₹20–30 LPA | Min. 4 Years of Experience | Hands-On Role

We are building a new kind of intelligence platform that sits at the intersection of health, behaviour, wearables, and real-time decision systems. Our data pipeline captures 60,000+ data points per pet per day across motion, GPS, audio, health logs, and behavioural events.

We are looking for a
founding AI engineer
who can own the end-to-end AI architecture — not just build models, but productionize them at scale with real-world impact.

What You'll Build

You'll be responsible for architecting and shipping:

  • Full-stack AI/ML pipelines to handle real-time multimodal pet data
  • Time-series models to detect early illness, restlessness, aggression, and sleep anomalies
  • Smart nudges and personalised pet recommendations (movement, health, care)
  • Behavioural clustering and risk scoring engines (for insurance, hosts, vet dashboards)
  • Embedding models powering our internal PetAI assistant
  • Data architecture for structured + unstructured pet telemetry and app activity
  • Future integrations: on-device/edge inference for our smart collar

Who Uses Your Work

  • Pet parents (daily insights and warnings)
  • Vets (medical context and pre-visit summaries)
  • Groomers and hosts (temperament tagging)
  • Internal AI assistant (PetAI)
  • Ops and support teams (incident prediction)
  • Founders and BI teams (trend dashboards, retention analytics)
  • Future insurance and ecosystem partners (risk engines)

What We're Looking For

  • Minimum 3 years of hands-on experience in ML/AI engineering
  • Strong foundation in time-series modeling, signal processing, or real-time inference
  • Experience with tools like PyTorch, TensorFlow, Scikit-learn
  • Knowledge of embeddings, retrieval pipelines, vector DBs
  • Data infrastructure fluency: streaming (Kafka), orchestration (Airflow), DBs (Postgres)
  • Ability to build for scale, not just hack demos
  • Prior experience working with IoT or health/behavior data is a strong plus
  • Bonus: Edge ML, on-device inference, LLM integrations
  • Must be comfortable working independently in a fast-moving startup environment

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