Neo4j jobs

...Evaluation matrix / comparison sheet 8. Final recommendation report including: * strengths and weaknesses of each approach * best approach by question type * whether dynamic KB + RAG routing is justified * suggested production architecture direction Technical Expectations: Freelancer should have strong experience in: * Python * LLM / RAG systems * vector databases * graph databases / Neo4j or equivalent * document parsing / PDF processing * evaluation of GenAI systems * prompt design for evidence-grounded answering Preferred experience: * Graph RAG * hierarchical / tree-based retrieval * Bedrock / Azure OpenAI / OpenAI APIs * LangChain / LlamaIndex / custom pipelines * citation-grounded QA systems What I Need in Proposal: Please include: 1. Relevant similar wor...

...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 ex...

Hello, i would like to ask, if you could help me with my project. The project theme is Identification and Visualization of design paterns. My approach with half-finished code is graph-based. Im using node.js with jdtls with lsp request and helper functions which adds details. Json from the code im putting inside neo4j graph db. where im cypher querying design paterns. The help i need from you is to find benchmark datasets for design paterns (probably P-mart), fix my code/cypher querries bcs i think right know its not correct. Im trying to identify singleton/strategy/decorator/adapter/factory method. In my sampleproject it identifies just fine, even in refactoringguru github examples. But when i tried junitv3.7 for example, it wasnt really accurate. The thing is, i dont know if from ...

...infrastructure for AML, KYC, and entity resolution. This is a serious, long-term build. I am not looking for people to start coding. I am looking for engineers who can design their layer correctly first, then execute against a locked blueprint. I have five open roles. Apply for the one that matches your strongest skillset. THE PLATFORM STACK AWS (VPC, IAM, S3, RDS, ECS/EKS, KMS) · PostgreSQL · Neo4j or Neptune · OpenSearch · FastAPI or NestJS · React / · Airflow or Prefect · Docker · GitHub Actions · Kafka or SQS OPEN ROLES 1 — Backend Engineer (×2) Build the core API layer, service architecture, and data access patterns. FastAPI or NestJS. Must have experience with multi-service architectures and RBAC....

...shaping them into a continually updated knowledge graph, with a clear upgrade path toward Graph-RAG so an LLM can later query the graph directly. Phase 1 – Knowledge graph Data will arrive as real-time or near-real-time streams. I already have authorised access to the government endpoints; your job is to design and code the ingestion, normalisation, and storage layers. A graph database such as Neo4j, TigerGraph, or Amazon Neptune is preferred, but I am open to any engine that supports ACID guarantees and fast traversals. The graph must refresh automatically as new records appear and expose a REST/GraphQL interface for downstream services. The entities and relationships that must be modelled are: • Visa applications • Border crossings • Residency perm...

Senior Neo4j / Cypher – Knowledge Graph (modeling + import + queries) – NDA Project description: I’m looking for a senior Neo4j resource who can design and implement a robust graph model for structured decision knowledge extracted from text (case → assessment → decision → rationale → outcome). The focus is on solid domain modeling, data quality, and queries that actually work in real-world use. Further details will be shared after a brief intro and a signed NDA. Important note (language): The source materials and domain content are primarily in **Norwegian**. A Norwegian-speaking developer is preferred. If you are English-speaking only, you must be comfortable **translating/working through Norwegian text** as part of the job—espec...

...for concurrent queries from my team. • Build a lightweight, browser-based conversation interface (Python/FastAPI or Node/Express on the back end, React/Vue on the front end are fine) that lets employees chat with the model, store each dialogue, and authenticate with our SSO. • Transform every conversation into a continuously updated knowledge graph so we can run graph-based analytics later. Neo4j, Amazon Neptune, or any other graph database you prefer is acceptable as long as the data schema is documented. Acceptance criteria 1. I can open the web app, start a new session, and get streaming answers in under two seconds. 2. Each turn of the dialogue appears as nodes and relationships in the graph store and is queryable with Cypher or an equivalent language. 3....

We’re a Gurgaon-based startup building a conversational-first AI product (not a ChatGPT wrapper). We’re looking for two experienced freelancers to help us build an MVP. - Role 1: Backend / AI Engineer (Freelance) Commitment: 25–30 hrs/week Required Skills Python (FastAPI) Node.js (Express / NestJS) PostgreSQL Neo4j or strong graph concepts LLM API integration (OpenAI / Azure / Claude) REST APIs, Docker Responsibilities Build backend services & APIs Implement AI-driven logic Work with graph-based relationships Integrate LLMs cleanly Weekly progress demos - Role 2: Frontend / React Native Engineer (Freelance) Commitment: 15–20 hrs/week Required Skills React Native TypeScript API integration Chat / conversational UI experience Mobile U...

...the analysis should surface clusters or patterns that strongly suggest shared ownership. To make that conclusion convincing, I’ll need clear evidence around: • Amounts moved at each step • Frequency of transfers between addresses • Precise timing correlations that link otherwise unconnected wallets A compelling delivery for me would include an easy-to-follow network graph (Python, Dune, Neo4j, or any tooling you prefer), a short write-up of the heuristics you applied—change-address detection, common-input clustering, gas-price fingerprinting, or other methods—and a spreadsheet or JSON file that lists the suspected linked wallets with confidence scores. Let me know if you have prior experience untangling DeFi or prediction-market flows and...

...templates / label snippets” from a synthetic corpus 2. Graph-RAG (knowledge graph + retrieval) o a small Neo4j (or equivalent) graph representing PV entities & relationships such as: o Product → Event → Case → Source → ODCS → Reporting Rule → Evidence o and links like: “case derived from PSP”, “case is duplicate of X”, “case requires follow-up”, “case has day-zero basis” Graph-RAG should be used for reasoning tasks like: • “Show all cases sourced from ODCS digital listening last week that are serious/unexpected” • “Which ODCS plan controlled this case’s day-zero?” • “Which cases are duplicates or linked across sources?” Graph tech option...

Looking for someone with experience on the below: - Python - GraphRAG library - Neo4j db I am looking at the getting started guide however the exmples provided do not work in the sense that no results are inserted or returned. Details provided in chat, this is a quick 15-30 mins task if you know what you are doing. Start bid with "neo"

Build a research agent which should comprise of external agent which will collect information from internet and one internal agent which should be able to get data from multiple csvs which is present in sharepoint and do white space analysis and give user result in csv or pdf or doc

...() and lets me create, inspect, and visualise CPGs through a clean web interface. Core features • Graph construction – given source files or repos in Python, JavaScript, Java, Golang and modern Next/React projects, the framework should spin up the underlying CPG tooling, parse the code and persist the resulting graph in a format that can be queried later (neo4j or similar is fine as long as it is documented). • Code analysis – expose Pythonic helper functions so I can write my own queries, run common vulnerability patterns, and export results as JSON/CSV. • Visualisation – through a lightweight web UI (Flask/FastAPI + Vue/React/etc.) I want to select a file or function and instantly see the relevant slice of the graph rendered interactive...

...Delivery Containerize services (Docker) and define deployment (Docker Compose / Kubernetes / cloud). Set up environment configuration, logging, and basic monitoring. Write developer‑level documentation and simple runbooks (how to run locally, deploy, and extend). 3. Required skills (must‑have) Neuro‑Symbolic / Reasoning Strong experience with symbolic AI: Knowledge graphs / ontologies (e.g., RDF, OWL, Neo4j, GraphDB) or Logic programming (Prolog, Answer Set Programming, rule engines) or Production rule systems (Drools, CLIPS, etc.). Experience combining neural models with symbolic reasoning (e.g., pipelines where LLM/ML outputs feed symbolic rules). Backend & Architecture Strong in backend development in your main stack (e.g., Node.js/TypeScript or Python – choose what ...

I want to see a concise, working demonstration that a knowledge graph can keep a large language model from hallucinating. The proof of concept must centre on graph technologies—Neo4j, RDF triples, Property Graphs, or any stack you prefer—while weaving in ontologies and taxonomies to shape and validate the context the model uses. The approach I have in mind is straightforward: choose a domain, load a small but meaningful data set into a graph, align it with an ontology or taxonomy layer, then let an LLM answer a series of intentionally tricky questions first without and then with graph grounding. The POC should clearly show how the graph-assisted workflow lowers false or fabricated answers and, ideally, provide citations back to the graph. Deliverables I need to review ...

... inventory movement and operational data to surface insights that directly improve production efficiency—think smarter stock replenishment, leaner order batching and faster in-store fulfilment rather than just “people who bought X also bought Y.” You’ll have clean CSV exports plus real-time feeds ready for training, and I’m open to modern Python tooling—TensorFlow, PyTorch, scikit-learn, even Neo4j or Spark if graph or distributed processing helps. The final model should run behind a REST or GraphQL API so our existing POS and planning dashboards can query it in milliseconds. Key deliverables: • Data-prep and feature engineering notebooks (Jupyter preferred). • A reproducible training pipeline with hyper-parameter search. &bul...

I need a minimal, “hello world” style project that wires LangGraph to Neo4j so I can use it as a learning scaffold for a larger system later. I do not yet have a Neo4j instance, so part of the job is guiding me through—or fully automating—the setup of a fresh database (Docker, Aura, or local install; whatever is quickest and clearly documented). After that, the code should demonstrate a simple end-to-end flow: LangGraph receives an input, touches Neo4j through the official driver, and returns a result that proves the connection works. Deliverables • Running Neo4j database (clean install) with connection details I can change later • Source code for the LangGraph “hello world” that reads and writes a test node &bu...

I’m kicking off a two-month sprint to turn a system-design ontology into a working SaaS platform. Here’s the scope I need you to cover from end to end: Backend • Spin up a Node.js / Neo4j backend that ingests and applies my existing ontology to drive business logic and data relationships. • Expose clean REST or GraphQL endpoints, complete with unit tests and concise API docs (Swagger or similar). • Set up a lightweight CI/CD pipeline so every merge automatically deploys to a staging environment. Third-party connections • The immediate priority is integrating “Tools” APIs—think version-control, project-management, or other productivity services our customers already use. If the roadmap later calls for Payment gateways, Socia...

I need a quick, working proof-of-concept for a Relational Intelligence Graph. Here’s what I’m after: • Spin up Neo4j—local desktop install or any cloud sandbox is fine. • Load the attached so brokers, reinsurers, cedants, and regulators are all connected. • Show the result in a clear graph view (Neo4j Browser, Bloom, or similar). • Hand over one short export script, or simply a screenshot, that proves the data imported and the relationships render correctly. Please apply only if you already have hands-on experience with Neo4j and can turn this around ASAP. WIll give bonus if done quickly

I need assistance developing a knowledge graph with causal explanations, utilizing Vector Cypher Retriever and Neo4j, based on my custom data. I have a custom database table (csv) with all kind of information: timestamps, target (price data), embeddings from event extraction, sentiments and much more. I want to create a knowledge graph to visualize the relationships and dependencies between the features (focus on sentiments and event embeddings) and make the event embeddings and price (target) explainable -> why is there a price up movement -> because of event x,y,z Please use python, neo4j

...stack, and renders an interactive knowledge graph that shows how breakthroughs evolve over time. Before any code is written, I need a seasoned data scientist to dissect available tools and design a rock-solid architecture where interoperability is the guiding principle. Your analysis will compare ingestion frameworks (e.g., Apache NiFi, Airbyte), vector stores and graph databases (Pinecone, Neo4j, TigerGraph), and orchestration layers that can sit comfortably alongside modern LLM tooling such as LangChain or LlamaIndex. What I expect from you: • A concise report that evaluates candidate tools, highlights integration points, and flags any interoperability pain points I should anticipate. • A reference architecture diagram that links ingestion, LLM processing, ...

Description: I’m looking for an experienced full-stack developer with strong AI/LLM integration skills to build a working prototype with mock data. Scope of Work: Dashboard: Show trial sites with status (Ready/Pending), metrics (days to activation, % compliance). AI Copilot: Chat i...status (Ready/Pending), metrics (days to activation, % compliance). AI Copilot: Chat interface (OpenAI API, LangChain) → Q&A like “What’s blocking Site 17?” Compliance Report Generator: Auto-generate PDF with documents, timeline, audit status. Tech Stack (Preferred but Flexible): Frontend: React / Backend: Python (FastAPI) or Node.js AI: OpenAI API, LangChain Database: Postgres or Neo4j (basic relationships) Hosting: AWS / Vercel / Heroku Timeline: 8–1...

...Infrastructure & Evaluation • Deploy, manage, and monitor Large Language Models (LLMs) such as LLaMA, GPT, Mistral, and Claude. • Build internal evaluation pipelines to benchmark model performance across diverse business use cases. Knowledge Systems Development • Design and implement advanced RAG pipelines using vector databases like Pinecone or Weaviate. • Develop graph-powered knowledge systems using Neo4j, ArangoDB, or TigerGraph. • Create scalable chunking and tokenization strategies for semantic search and document ingestion. Embedding, Tokenization & Retrieval Optimization • Select and apply embedding models (OpenAI, Cohere, HuggingFace) for downstream tasks. • Optimize chunking and retrieval pipelines for low-latency, high-recal...

...3D visualisation with three key interactions: • product customisation (materials, colours, dimensions) • full 360-degree orbit and pan controls • virtual placement of items within a user-defined room Back-end services should be containerised with Docker, exposed through an OpenAPI-documented REST layer, and deployed to Azure via Terraform. MongoDB will hold product and user data, while Neo4J will capture relational data such as recommendations and compatibility rules. I expect: • a polished, responsive UI built with React, TypeScript and modern state management • performant 3 JS scenes that load quickly and maintain smooth frame rates • secure account handling, session management and basic checkout scaffolding • CI/CD scripts...

...search engine over multi-year financial vectors (incl. DTW and classic metrics, yearly and quarterly). • Advanced screeners (rule-based + vector-based). • SEC Filings RAG (Q&A over 10-K/10-Q/20-F/40-F with chunk references). • Natural-language to Cypher (N2C) for querying Neo4j. • Admin panel to run/update ETL pipelines from financial data source API and configurable endpoints. • User accounts, role-based access, and subscription tiers (Free/Pro/Enterprise). Target user: enterprises /analysts /investors. Data backbone: Neo4j (20–30 years of history), enriched via financial data source API ________________________________________ 2) Goals & Success Criteria • Accuracy: Numeric parity with financial API for ingested fields; determi...

...Understanding of OCR/NLP preprocessing (Tesseract, SpaCy, FastText).- - Good grasp of MLOps: Docker, API deployment, model serving (vLLM/TGI). Preferred (Nice-to-Have) - Prior work in legal tech, fintech, or compliance automation. - Knowledge of Indian legal/tax datasets (Indian Kanoon, MCA21, CBDT/CBIC). - Experience with multi-lingual NLP (Indic languages). - Familiarity with knowledge graphs (Neo4j, RDF, SPARQL). - Experience with evaluation frameworks (Ragas, DeepEval). Education & Experience - Bachelor’s or Master’s degree in Computer Science / Data Science / AI/ML (or equivalent experience). - min. 5 years of experience in AI/ML/NLP projects (startup or research experience a plus)....

...Understanding of OCR/NLP preprocessing (Tesseract, SpaCy, FastText).- - Good grasp of MLOps: Docker, API deployment, model serving (vLLM/TGI). Preferred (Nice-to-Have) - Prior work in legal tech, fintech, or compliance automation. - Knowledge of Indian legal/tax datasets (Indian Kanoon, MCA21, CBDT/CBIC). - Experience with multi-lingual NLP (Indic languages). - Familiarity with knowledge graphs (Neo4j, RDF, SPARQL). - Experience with evaluation frameworks (Ragas, DeepEval). Education & Experience - Bachelor’s or Master’s degree in Computer Science / Data Science / AI/ML (or equivalent experience). - min. 5 years of experience in AI/ML/NLP projects (startup or research experience a plus)....

I'm looking to develop a new application that requires the following functionalities: - User Authentication - Data Visualization The application will interact with Neo4j by both querying and writing data. Ideal Skills and Experience: - Proficiency in Python and Django - Expertise in Neo4j, especially in knowledge graphs - Strong background in implementing user authentication - Experience with data visualization tools and libraries - Ability to design and develop applications that efficiently query and write to a Neo4j database Please provide examples of similar projects you've completed.

...heavy on AI-assisted development — tools like Cursor, GitHub Copilot, and ChatGPT will be part of your daily workflow. *Tech Stack* Cloud: GCP – Cloud Run, Cloud SQL (Postgres), Cloud Storage, BigQuery, Composer (Airflow) Languages: Python (backend & ETL), TypeScript (frontend/backend), SQL Frameworks: FastAPI (or Node.js), , Tailwind CSS Data Infra: BigQuery, Cloud SQL, GCS, optional: Neo4j (on GCE) Dev Tools: Docker, Cloud Build, Cursor, GitHub Copilot, GPT-4 APIs Bonus Skills: Airflow DAG authoring, data scraping (Pandas/Scrapy), marketplace search/filter UI, product catalog ingestion *What You’ll Build – MVP* Multi-tenant supplier & buyer onboarding (auth, KYC upload, CRUD) Product listing & catalog management Buyer-supplier messaging &am...

...IndustrialIQ portal. Maintain and enhance backend services (Neo4j, Redis, API, WebSocket). Update and optimize Docker Compose services for stability and performance. Develop new features on both frontend (React/HTML/CSS/JS) and backend (Node.js or Python). Integrate APIs, industrial data feeds, and analytics modules. Monitor logs, system health, and performance metrics. Implement security best practices for APIs and deployments. Manage backups, environment variables, and deployment scripts. Collaborate with occasional UI/UX contractors for visual improvements. Required Skills Frontend: HTML5, CSS3, JavaScript (ES6+) React.js (preferred) or Vue.js Backend: Node.js or Python REST APIs and WebSockets Databases: Neo4j (Cypher queries) Redis (caching, queues) ...

...to move fast using tools like Cursor, GitHub Copilot, and ChatGPT as part of your dev flow. *Tech Stack You’ll Use* * Cloud: GCP – Cloud Run, Cloud SQL (Postgres), Cloud Storage, BigQuery, Composer (Airflow) * Languages: Python (core ETL), TypeScript (frontend/backend), SQL * Frameworks: FastAPI (or Node.js if preferred), , Tailwind CSS * Data Infra: BigQuery, Cloud SQL, GCS, optional: Neo4j (on GCE) * Dev Tools: Docker, Cloud Build, Cursor, GitHub Copilot, GPT-4 APIs * Bonus: Airflow DAG authoring, scraping with pandas/Scrapy, experience with raw trade data (CSV, PDF, Excel, APIs) *What You’ll Build* * End-to-end ingestion pipelines for trade data (PDF/CSV/API-based) * Normalization layer for commodities, HS codes, ports, companies * Business profile onboar...

...We are open to proposals regarding the most suitable technology stack. Please highlight your proficiency in areas such as: Programming Languages: Python, Java, Go, etc. AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, etc. (for data analysis and pattern recognition) Data Visualization Libraries: D3.js, , , PlantUML, etc. Database Technologies: Graph databases (e.g., Neo4j) are highly preferred for representing relationships, alongside relational or NoSQL databases for CI data. Cloud Platforms: AWS, Azure, GCP (if applicable for deployment) Deliverables: Fully functional AI-powered Enterprise Architecture Visualization Tool. Comprehensive documentation, including architecture design, API documentation, and user manuals. Source code with clear comments and version

...functional MVP (Minimum Viable Product) first, with potential for iterations based on testing. Key Requirements and Features: Core Architecture: Modular multi-agent system using frameworks like LangChain, CrewAI, or AutoGen for orchestration. Integrate open-source LLMs (e.g., Llama 3 or Mistral via Hugging Face) for reasoning, summarization, and natural language processing. Database: Use SQLite or Neo4j for storing entity graphs and investigation data. Data Gathering (Search Module): Integrate OSINT APIs and tools: X (Twitter) API for social searches, SerpAPI/Google Custom Search for web queries, Reddit/Praw for forums, Maltego for entity mapping, Shodan for device intel (if relevant). Support web scraping with BeautifulSoup (ethical/public sites only), and media analysis with ...

...on OCI Data Science for chatbot & recommendations • Build and populate a knowledge graph (Neo4j or Autonomous JSON DB) for workflows, regulations, and use cases • Develop and deploy a data classifier (ML model) in OCI Data Science • Connect and integrate external data feeds • Build dynamic dashboards using Oracle Analytics Cloud • Ensure security, scalability, and explainability of AI outputs ⸻ Required Skills & Experience: Proven experience developing on Oracle Cloud Infrastructure (OCI) Familiarity with Oracle Autonomous Database and Oracle Analytics Cloud Expertise in AI/ML/NLP: LLMs, fine‑tuning, prompt engineering, RAG techniques Knowledge graph design & implementation (preferably Neo4j or similar) Experience with Python (...

...Do for You: AI & Machine Learning Deep Learning (CNN, LSTM, Transformer) Image & Text Processing (NLP, OCR, Captioning) Model training, tuning, and evaluation TensorFlow, PyTorch, scikit-learn Big Data Engineering ETL pipelines with Apache Spark Hive, HBase, Hadoop ecosystem Data warehouse optimization Stream & batch data processing Databases SQL (PostgreSQL, MySQL) NoSQL (MongoDB, Neo4j, Cassandra) Graph databases & complex queries Development Tools Python scripting & automation REST APIs, FastAPI, Flask Git, Docker, Linux, Jupyter...

I'm building a prototype system that analyzes user photos to recommend fashion styles. The system integrates facial feature analysis, knowledge graph reasoning, and a basic recommendation engine. I am search...The system integrates facial feature analysis, knowledge graph reasoning, and a basic recommendation engine. I am searching for a consultant for architecting the system. Key Components: - Facial Analysis - Knowledge Graph - Recommendation Engine Ideal Skills and Experience: - Expertise in computer vision (experience with OpenCV, dlib, or DeepFace) - Proficiency in knowledge graph technologies (Neo4j, RDFLib, Apache Jena) - Strong background in building recommendation systems - Familiarity with open-source datasets and integration Please include relevant past work in yo...

...Model and manage complex educational data using both PostgreSQL and a Graph Database (e.g., Neo4j). Implement graph-based data structures to map student learning pathways, knowledge gaps, and content relationships. Collaborate with the development team to ensure seamless data flow between the AI engine, databases, and the user-facing application. Required Technical Skills & Experience: AI & API Integration: Demonstrable experience integrating and utilizing LLMs, specifically the Google Gemini API. Strong proficiency in building and consuming RESTful APIs. Database Management: Solid experience with PostgreSQL, including schema design and query optimization. Proven experience with Graph Databases (e.g., Neo4j, ArangoDB), including data modeling and querying (e.g., us...

I need an application using Neo4j and Python fast api set up on a Google VM running Debian, with Nginx as the web server. Requirements: - Experience with Neo4j and Python - Familiarity with Google Cloud Platform - Nginx configuration skills - Debian OS proficiency Please include relevant experience in your application.

...automation suggestions Human-in-the-loop validation for critical decisions Microservices Architecture - Infinite Scale: Core Platform Services: API Gateway handling 10M+ requests/second Service Mesh with intelligent routing (Istio-based) Event Streaming backbone (Kafka) processing 1M+ events/second Distributed caching layer (Redis clusters) with 10TB+ memory Graph database for relationship mapping (Neo4j clusters) Time-series database for metrics (InfluxDB/Prometheus) Resilience and Performance: Chaos engineering built-in (automated failure testing) Self-healing infrastructure with automatic failover Global load balancing across 20+ data centers Edge computing nodes for low-latency access Quantum-resistant encryption for future-proofing Development Platform: Low-code/n...

...systems, NLP for service descriptions, compatibility scoring). - Automate matchmaking processes (real-time notifications, smart pairing). **Required Skills**: - Proficiency in **Python (TensorFlow/PyTorch)**, **Node.js**, or **Java**. - Experience with: - Matching algorithms (*Collaborative Filtering, Graph Theory, Bipartite Matching*). - Complex relational databases (PostgreSQL, Neo4j). - Payment APIs (Stripe, PayPal) *[if applicable]*. - Portfolio showcasing similar projects (B2B platforms, marketplaces). **Bonus Skills**: - Microservices architecture & scalability. - Cloud AI tools (Google Cloud AI, AWS SageMaker). **Terms**: - Duration: [Short-term/Long-term/Project-based]. - Budget: [Specify range or "Negotiablen"].

...matches users (email/phone/device) across platforms A prediction model that scores users by how likely they are to convert A tool that builds and sends smart audience lists to ad platforms A simple dashboard to track everything in one place Tech We're Using: FastAPI for backend APIs Redis for fast data access and event caching BigQuery (or similar) for data storage Graph DB (like Neo4j) for identity resolution Ad APIs: Meta (Facebook/Instagram), Google Ads, TikTok, Snapchat Frontend: React or (for a simple control panel) What You'll Work On (First Goals): We're starting lean. The goal for the next 1–2 months is to: Track events from Snapchat Process and score users based on behavior Build a basic audience list Sync that audience ...

I'm looking for an expert in n8n and Langflow to automate several key processes in my company, specifically in customer support, sales, and finance. Title: Build Robust n8n Automations + Multichannel AI Chatbot with Redis, Qdrant, Neo4j, Postgres, and OpenRouter Description: We are seeking a highly skilled developer to build a robust automation and AI chatbot system using n8n, with support for multichannel communication and deep LLM integrations. This is the first phase of a larger project — additional automation workflows for other business processes will follow based on the success of this implementation. Scope of Work: n8n Automation Workflows: Design and implement scalable workflows that manage multistep logic, API calls, AI routing, retries, and error handling. ...

...enablement. Identify technical risks and recommend a phased execution plan Responsibilities Conduct architectural review of current backend services, AI agent flow, database models, and API designs. Analyse the planned implementation of: Event-driven ticketing system (SignalR, Azure Event Grid, Webhooks) Pattern Recognition Engine (PRE) + Ticket Evaluation Engine (TEE) PMF Knowledge Graph (Neo4j) and PRE graph traversal logic LMS and CMS integration pipelines AI Console (multi-agent orchestration, chat-based configuration) PMF dashboard scoring engine + drift logic Evaluate the extensibility and modularity of proposed designs Audit system scalability by tenant, user volume, and agent load Create a clear SOW for implementation including timeline, milestones, and resou...

...“Plausibility” Module • headless simulation via BeamNGpy • Generate synthetic crash mesh → compare SSIM / LPIPS 7. Back‑End Orchestration • FastAPI (Python 3.11) micro‑services • Celery / Redis for async jobs • Docker‑compose → Kubernetes Helm charts 8. Admin & Investigator Dashboard • React + Tailwind UI • Claim table, image viewer with heat‑map overlay, anomaly timeline • Simple Neo4j graph visual (D3.js) for cross‑claim links 9. Security & Compliance • Zero‑trust network: mTLS, cert‑pinning, OAuth2 / OIDC (Keycloak) • Vault‑managed secrets • Immutable logging (Loki, S3 Object‑Lock) • Supply‑chain scanning: Trivy, Semgrep, SBOM 10. CI/CD & Documentation • Gi...

...our platform through iterative feedback and system improvements. Ideal Skills • Proficient in Flutter or a comparable modern mobile/web framework. • Strong skills in system design with an emphasis on scalability and modularity. • Backend development experience using Python and frameworks like FastAPI. • Proficient in working with: o API frameworks (e.g., FastAPI) o Databases (e.g., PostgreSQL, Neo4j) o Cloud infrastructure (e.g., Azure, AWS) • UX/UI sensibility for polished, consumer-facing applications. Other Skills We Value • Ability to effectively document system architecture and implementation. • Strong communication and teamwork abilities in remote work environments. • Familiarity with deployment to the Apple App Store and Google Pla...

...Responsibilities: - Set up and fine-tune LLAMA 2 13B/34B or equivalent for field-specific Q&A. - Develop a small-scale Knowledge Graph using Neo4j with nodes and relationships based on extracted entities. - Build a RAG system with FAISS or Elasticsearch for vector indexing and document retrieval. - Integrate KG-assisted query expansion to improve response accuracy. - Deploy the system via Flask or FastAPI with secure API endpoints. - Validate PoC performance with sample queries and expert evaluation. Requirements: - Proven expertise in LLAMA models, RAG pipelines, and KG development. - Experience with FAISS, Elasticsearch, Neo4j, and Flask or FastAPI. - Strong background in NLP, entity extraction, and graph query optimization. Duration: 6 to 8 w...

I'm conducting a research study on Myocardial Infarction Prediction using Knowledge Graphs and Ontology-based Modeling. I need a specialist in Machine Learning, Graph Databases, and Ontology Developme...the Knowledge Graph for analysis - Developing an ontology-based system for medical data integration - Implementing Machine Learning models for prediction - Optimizing data extraction from various medical records Data Sources: - Primarily, the project will leverage Medical Literature Required Skills: - Expertise in AI & ML (Python, TensorFlow, Scikit-learn) - Experience with Graph Databases (Neo4j, RDF, SPARQL) - Ontology Development (Protege, OWL, Ontology Reasoning) - Medical Data Analysis & Feature Engineering Budget: Flexible (Please propose your best offer) Dead...

...in PHP or Python to automate the following actions: -Securely log into a user account on Stake.com. -Retrieve real-time information (odds, events, etc.). -Place bets according to defined parameters. -Handle errors and monitor performance. Collaborate with our team to refine automation strategies and improve results. Required Skills: -Proficiency in GraphSQL and graph-oriented databases (e.g., Neo4j). -Strong expertise in PHP or Python development. -In-depth knowledge of RESTful APIs and WebSockets. -Ability to solve complex problems and optimize performance. -Understanding of online betting platforms and strict adherence to terms of use. -Prior experience with automated trading or betting systems is a significant advantage. What We Offer: -A stimulating and innovative project ...

I'm seeking a skilled developer to create Darkspaces, a unique professional networking social media...content including images, videos, articles, blogs, as well as audio files and podcasts. - User Interactions: Essential interactions on the platform will include likes, comments, messaging, sharing and reposting, as well as following. The site will also feature live interactions. Required Skills: - Proficient in PHP and MySQL for server-side scripting and database management. - Experience with Neo4j for implementing a graph database that supports complex networking. - Familiar with MongoDB for handling large volumes of unstructured data. - Previous work in social media website development is highly desirable. Freelancers with a strong portfolio and relevant experience are enc...

Final Instructions & Non-Negotiable Terms Key Requirements: Tech Stack: Frontend: React Native (Expo) + React Three Fiber for 3D. Backend: Django REST API + PostgreSQL/Neo4j. File Upload: Firebase Storage + AWS Textract/FFmpeg. Deadline: 72 hours total (≈2 weeks part-time). No extensions. Code Quality: you can code and use AI to help you, but if its 100% AI generated (I’ll run CodeBERT checks). Daily Loom screenshots showing progress (code + functionality). Payment Terms: Rate: ₹415/hour (INR) or ₨1,400/hour (PKR). this can go to ₹550 Total Budget: ₹29,880 (INR) or ₨100,800 (PKR). Milestones: ₹10,375 (INR) / ₨35,000 (PKR) after 3D family tree demo (Expo app). ₹19,505 (INR) / ₨65,800 (PKR) after App Store/Play Store submission. Penalties: GPT code = ₹0...