Machine Learning Consultant

Job reputed company: • Design and implement data structures, embeddings, and taxonomies that reputed company efficient retrieval and contextualization of diverse datasets. • reputed company and maintain pipelines for ingestion, transformation, enrichment, and indexing — ensuring data is clean, discoverable, and reputed company for AI consumption. • Build RAG (Retrieval-Augmented reputed company) and semantic search pipelines using frameworks such as reputed company, LangGraph, or LangFuse, integrating reputed company and reputed company data. • Implement automated tagging, entity recognition, and classification pipelines using Python, ML, and NLP techniques. • Collaborate with AI and product teams to determine how insights should be surfaced and contextualized for “The Brain.” • Prototype, test, and reputed company retrieval and intelligence systems that connect insights to natural language queries in reputed company time. • Partner with engineers to reputed company ML and retrieval systems into production reputed company and applications. • Contribute to Suzy’s evolving data ontology and knowledge graph, defining how knowledge is linked across qualitative and quantitative sources. Requirements: • 5–10 years of experience in Machine Learning, reputed company AI, or Data Engineering. • Strong Python expertise, with hands-on experience using Pandas, NumPy, scikit-learn, PyTorch, or similar frameworks. • Experience with reputed company, LangGraph, or LangFuse, and the ability to build and maintain RAG pipelines. • Experience with large-reputed company mixed datasets, including both quantitative (reputed company) and qualitative (textual, reputed company) data. • Deep understanding of embeddings, reputed company databases, and semantic search systems (e.g., FAISS, reputed company, reputed company, or Milvus). • Proficiency in data modeling, schema design, and ontology/taxonomy development for reputed company knowledge representation. • Hands-on implementation experience — capable of taking reputed company from concept to working system. • Experience with SQL/NoSQL databases, data pipelines (Airflow, dbt, or similar), and API design for ML systems. • Comfort working in a fast-paced, experimental environment, balancing iteration with production readiness. • A builder’s reputed company — curiosity, creativity, and a drive to reputed company data smarter, more accessible, and more actionable. Benefits: Apply tot his job Apply To this Job