Lead ai engineer

4 weeks ago

Bengaluru, India PetYosa Full time

???? Bangalore | Full-Time | ₹20–30 LPA | Min. 4 Years of Experience | Hands-On RoleWe 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 BuildYou’ll be responsible for architecting and shipping:Full-stack AI/ML pipelines to handle real-time multimodal pet dataTime-series models to detect early illness, restlessness, aggression, and sleep anomaliesSmart nudges and personalised pet recommendations (movement, health, care)Behavioural clustering and risk scoring engines (for insurance, hosts, vet dashboards)Embedding models powering our internal Pet AI assistantData architecture for structured + unstructured pet telemetry and app activityFuture integrations: on-device/edge inference for our smart collarWho Uses Your WorkPet parents (daily insights and warnings)Vets (medical context and pre-visit summaries)Groomers and hosts (temperament tagging)Internal AI assistant (Pet AI)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 ForMinimum 3 years of hands-on experience in ML/AI engineeringStrong foundation in time-series modeling, signal processing, or real-time inferenceExperience with tools like Py Torch, Tensor Flow, Scikit-learnKnowledge of embeddings, retrieval pipelines, vector DBsData infrastructure fluency: streaming (Kafka), orchestration (Airflow), DBs (Postgres)Ability to build for scale, not just hack demosPrior experience working with Io T or health/behavior data is a strong plusBonus: Edge ML, on-device inference, LLM integrationsMust be comfortable working independently in a fast-moving startup environment

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