We are hiring an experienced Senior ML Engineer / Applied ML Lead who can :
- Build ML systems from scratch
- Own the ML architecture end-to-end
- Handle NLP, embeddings, and ranking models
- Work with geospatial data
- Deploy production-grade ML
- Guide and mentor junior ML engineers
This is a founding-level role with full ownership of ML at Zillwork.
Technical :
4–8 years experience in Machine LearningStrong Python (NumPy, Pandas, Scikit-learn)Deep learning frameworks : PyTorch or TensorFlowNLP : transformer-based models (HuggingFace, BERT family, XLM-R, Sentence Transformers)Embeddings + semantic similarityVector search : FAISS / Pinecone / QdrantRanking algorithms (learning-to-rank, similarity scoring)Experience with geospatial data (distance filtering, clustering, geo-features)Hands-on experience deploying ML in productionExperience building real systems (not academic-only)Nice-to-have :
Experience with multilingual NLPExperience with ASR / voice pipelinesExperience with recommendation systemsExperience with model optimization for latencyBasic DevOps knowledge (Docker, GPU workloads)Qualifications :
Bachelor’s or Master’s in CS / AI / DS or equivalent experienceProven track record of delivering ML systems to productionAbility to work independentlyStrong problem-solving + system design mindsetComfortable in early-stage startup environment