Senior ML/DS Engineer

Requirements: Experience implementing solutions in production, not just in Jupyter. Polygonal meshes, voxels, triangulation, 2D/3D and mathematical foundation. IR & LLM: hybrid search (dense/sparse, BM25, RRF), embeddings, vector databases (Qdrant, Milvus, pgvector, Weaviate). LLM-evals (Ragas, TruLens, DeepEval) or custom metrics. Python 3.10+, asyncio, typing, NumPy/SciPy/Pandas; robust and maintainable code. Backend & Infra: FastAPI, REST/microservices, Docker, Linux/Ubuntu. Profiling: cProfile, Scalene, memory_profiler and similar. Bonus points: Trimesh, PyVista, Shapely, OMF; working with 3D scenes. DXF, VTK, LAS/LAZ, GeoTIFF. Inference: Triton, ONNX Runtime, vLLM. MLOps and CI/CD for ML services. Confident work with Linux CLI and scripts (Python, JS).

**Location:**📍RF/RB.