Senior AI/Data Engineer Needed to Build MVP (Entity Resolution + Risk Scoring) – 4 Week Project

Заказчик: AI | Опубликовано: 22.03.2026
Бюджет: 1500 $

Senior AI/Data Engineer Needed to Build MVP (Entity Resolution + Risk Scoring) – 4 Week Project Overview: I am building a financial intelligence platform focused on entity resolution and risk detection across large datasets (similar to Palantir-style systems). I am looking for one highly skilled engineer to build a functional MVP in 4 weeks. This is not a basic project. You must be able to operate independently and deliver production-quality work fast. ⸻ Scope of Work (MVP Only): You will build a working system that can: 1. Data Ingestion • Ingest structured datasets (CSV/API) • Normalize and store data 2. Entity Resolution (CORE FEATURE) • Match entities across datasets (names, companies, aliases) • Implement fuzzy matching or embedding-based similarity • Return confidence scores for matches 3. Basic Risk Scoring • Assign a simple risk score based on: • Matches to flagged entities • Relationship proximity (basic graph logic) • Output must be explainable 4. Search Interface • Simple UI or API where user can: • Search a name/entity • See matched entities • View risk score + reasoning ⸻ Deliverables (End of 4 Weeks): • Fully working MVP (hosted or runnable locally) • Clean, documented codebase • API endpoints for search + scoring • Basic UI (can be minimal but functional) ⸻ NON-NEGOTIABLE SKILLS You must have real experience in: Core Engineering • Python (advanced) • API development (FastAPI or Flask) • Working with large datasets AI / Data • Entity resolution / fuzzy matching • Embeddings (e.g. OpenAI, sentence transformers) • Basic machine learning or scoring systems Data Infrastructure • PostgreSQL or similar database • Building ETL/data pipelines Systems / Architecture • Ability to design a simple but scalable architecture • Experience deploying applications (AWS, GCP, or similar) ⸻ BONUS (STRONGLY PREFERRED) • Experience with graph databases (Neo4j) • Experience with financial, AML, or KYC datasets • Experience building search systems ⸻ Timeline: • Total: 4 weeks • Week 1: Data ingestion + schema • Week 2: Entity resolution working • Week 3: Risk scoring + API • Week 4: UI + deployment + polish ⸻ Compensation: • Fixed project fee (based on experience) • Bonus for early or high-quality delivery ⸻ How to Apply (IMPORTANT): To be considered, you must include: 1. Examples of similar work (data systems, AI, search, etc.) 2. Your exact approach to building this MVP 3. Tech stack you would use 4. Confirmation you can deliver in 4 weeks Applications without this will be ignored.