Hiring ML Engineer (Remote, India)

The Role We're looking for an ML Engineer to build and own the intelligence layer. You'll work across food recognition, recommendation systems, and conversational AI to create a product that genuinely improves user's health outcomes.What You'll BuildFood recognition pipeline using computer Vision models API and custom models fine-tuned on firms datasetsRecommendation engine combining collaborative filtering and content-based filtering (nutrients, ingredients, textures)Pattern detection using time-series models (LSTM/Prophet) to identify nutritional deficiencies and preference shifts earlyRAG-based chat system grounded in verified pediatric nutrition guidelines using llmsVoice transcription pipeline using OpenAI Whisper, aws transcribe and likes for hands-free loggingRequirements3+ years building and shipping ML models in productionStrong Python skills — TensorFlow, PyTorch, scikit-learnExperience with recommendation systems or time-series modelingFamiliarity with LLMs and RAG architecturesComfortable working with APIs (Google Vision, OpenAI, USDA FoodData Central)Nice to HaveExperience in health, nutrition, or pediatric applicationsExperience fine-tuning vision models on domain-specific datasetsWhat We OfferEarly-stage equity — meaningful ownership in a growing consumer AI companyRemote-first, async-friendly cultureDirect impact on product — you own the ML roadmapCompetitive salary based on experience

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