Title: - AI Engineer
Location:
Remote
Type:
Full-time
Experience:
2–5 years
About Omelo
Omelo is India’s first intelligent pet health companion, an AI-powered assistant that helps pet parents care for their pets proactively. From image-based symptom scanning (skin, eyes, stool) to multilingual chat and vet-backed guidance, we’re building the health stack pets deserve. Every year, millions of pets in India go undiagnosed due to a lack of access or awareness. At Omelo, we’re changing that, with inclusive, AI-first tools accessible via WhatsApp, web, and mobile.
Why This Role Matters
AI isn’t a support function here; it is the product. From visual health scans to symptom conversations, every user interaction is powered by real-time AI.
What You’ll Work On
- Build and scale computer vision models to detect pet health symptoms (e.g., rashes, eye infections, stool quality)
- Enhance our multimodal AI assistant, combining vision, NLP, and structured inputs
- Lead end-to-end AI workflows: data labeling, training, optimization, and deployment
- Tune models with real-world feedback loops, improving performance across diverse pet types and conditions
- Collaborate with product, design, and vet advisors to ship features that are clinically useful and intuitive
What Success Looks Like In 3–6 Months
- Ship 2 high-impact CV modules (e.g., skin or stool detection) used in production
- Improve top-line model precision/recall by 30% via iteration and feedback
- Deploy your models into production across mobile/web with real user traction
- Contribute meaningfully to our core health scoring and assistant logic
What We’re Looking For
- 2–5 years of experience building and shipping ML models, especially in health, agri, food, or diagnostic tech
- Strong hands-on experience with computer vision (CNNs, classification, segmentation, etc.)
- Comfort with NLP or LLMs for enhancing chat-based UX (Hugging Face, LangChain, etc.)
- Fluent in Python and familiar with tools like TensorFlow/PyTorch, FastAPI, GCP/AWS
- Bonus: Experience with mobile inference (ONNX, Core ML, TensorFlow Lite)
- Bonus: You’ve worked with real-world health or animal datasets (not just academic ones)
Tools & Workflow
We Work With
- Python, PyTorch, TensorFlow, Hugging Face
- FastAPI, Label Studio, ONNX
- GCP, Firebase, Postgres
- You don’t need to know them all, but familiarity helps!
What We Offer
- AI is the product, not a side project
- Real-world pet health data, with vet-labeled image and symptom datasets
- Direct collaboration with the founder, engineers, and vet experts
- Fast cycles, zero bureaucracy, and full model ownership
- Path to early equity and technical leadership for the right person
Skills: machine learning,multimodal ai,nlp,datasets,python,mobile,models,ai,data,bonus,building,pytorch,aws,fastapi,tensorflow,computer vision,chat,gcp,health