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AI/ML Engineer
Seeking an experienced AI/ML Engineer to advance an AI meeting assistant application. Responsibilities include designing and implementing robust speech-to-text, speaker diarization, and natural language understanding pipelines; fine-tuning transformer models for summarization, action-item extraction, and intent classification; optimizing inference for real-time performance on cloud or edge; ensuring data privacy and scalable deployment. Ideal candidate has proven experience with deep learning frameworks, NLP, ASR, model optimization, and production-ready ML systems.
LLM QA Reviewer / AI Output Validator (RAG Systems)
Description We are building a small network of specialists focused on AI reliability and LLM validation. At ProoflineAI, we work with companies deploying AI assistants and RAG-based knowledge systems. Our goal is to ensure these systems are accurate, grounded, and production-ready. This role is focused on evaluating AI outputs—not building models. What You’ll Do You will help assess and improve AI system reliability by: • Reviewing LLM responses for factual accuracy • Detecting hallucinations and fabricated references • Verifying grounding against source documents • Identifying retrieval vs generation failures in RAG systems • Scoring responses using structured evaluation criteria • Creating test prompts and edge cases • Documenting failure patterns clearly Ideal Profile You may be a strong fit if you have experience in: • AI QA / AI annotation • NLP or LLM evaluation • QA testing / data quality • ML Ops / AI operations • Reviewing AI-generated content critically Strong written English and attention to detail are essential. Location (Preferred) We are primarily looking to work with candidates based in: Poland Romania Portugal Estonia Latvia Lithuania Compensation Depending on workload: • €800 – €1,200/month (part-time) • €1,200 – €1,800/month (full-time) Long-term collaboration possible based on performance.
Seeking a Seasoned Low Latency HFT Engineer
• Connects directly to Interactive Brokers via API. • Monitors authorized signal providers or trading strategies. • Uses artificial intelligence to analyze financial news and market sentiment. • Executes futures trades automatically. • Provides advanced risk management and real-time monitoring. • Supports scaling across multiple trading accounts. Core System Requirements Interactive Brokers Integration • Full integration with IBKR API. • Real-time market data access. • Automated order execution. • Support for futures, equities, ETFs, and options. • Position monitoring and account synchronization. • Trade audit logs. Signal Replication Engine • Monitor approved signal feeds. • Detect position openings and closures. • Replicate positions automatically. • Adjustable trade sizing. • Multi-account support. • Real-time synchronization. AI Market Intelligence Engine • Financial news aggregation. • NLP sentiment analysis. • Economic calendar monitoring. • Market-impact scoring. • Trend analysis. • Event-driven trading filters. Automated Execution System • Market orders. • Limit orders. • Stop orders. • Bracket orders. • Position scaling. • Dynamic order routing. Risk Management Framework • Maximum daily loss limits. • Maximum drawdown controls. • Position-size limits. • Exposure limits. • Volatility filters. • Automated trading shutdown protocols. • Trade validation engine. Analytics and Dashboard • Real-time account monitoring. • Performance metrics. • P&L tracking. • Trade history. • Risk analytics. • Strategy performance reporting. • Mobile-friendly dashboard. Preferred Technical Skills Required: • Python • Interactive Brokers API (IBKR) • Quantitative Finance • Algorithmic Trading Systems • REST APIs • Database Development Preferred: • Machine Learning • Artificial Intelligence • Natural Language Processing • Financial Market Data Systems • Cloud Infrastructure • Docker • Kubernetes • Linux Server Administration Deliverables Phase 1 • System architecture • Technical specifications • Development roadmap Phase 2 • IBKR integration • Automated execution engine • Risk management framework Phase 3 • AI news and sentiment analysis engine • Signal replication module • Monitoring infrastructure Phase 4 • Dashboard development • Testing and optimization • Deployment and documentation Performance Expectations • Reliable automated execution. • Stable operation during market hours. • Low-latency order routing through Interactive Brokers. • Comprehensive risk controls. • Scalable architecture. • Secure and maintainable codebase. Important Notes The platform must comply with all Interactive Brokers policies, exchange rules, and applicable financial regulations. The system should be designed with a primary focus on reliability, risk management, transparency, and long-term scalability.
Past "Nlp" Projects
Looking for AI Software Engineer
We are looking for an AI Software Developer to join our team. You will build and improve AI and machine learning models and help integrate them into our software. We want someone who can write clean code, work with cloud platforms, and make AI models run efficiently. You should have experience with Python, Java, or C++, and know ML frameworks like TensorFlow, PyTorch, or scikit-learn. It’s a plus if you have worked with NLP, computer vision, or deploying AI models. We offer a competitive salary, flexible hours, and the chance to work on exciting AI projects.
AI/ML Engineer
Seeking an experienced AI/ML Engineer to advance an AI meeting assistant application. Responsibilities include designing and implementing robust speech-to-text, speaker diarization, and natural language understanding pipelines; fine-tuning transformer models for summarization, action-item extraction, and intent classification; optimizing inference for real-time performance on cloud or edge; ensuring data privacy and scalable deployment. Ideal candidate has proven experience with deep learning frameworks, NLP, ASR, model optimization, and production-ready ML systems.
Full-Stack AI Engineer (React + Python + NLP)
We are looking for a Full-Stack AI Engineer with strong experience in React and Python, and hands-on expertise in Natural Language Processing (NLP) and LLM-based systems. This role involves building AI-powered web applications where modern frontend interfaces integrate seamlessly with intelligent backend services. You will work on designing scalable systems that process, analyze, and generate text using NLP and machine learning techniques. We’re seeking someone comfortable operating across the full stack — from responsive UI development to AI model integration and backend architecture. Core Responsibilities * Develop modern frontend applications using **React** * Design and build backend services using **Python** * Develop and integrate **NLP pipelines** and LLM-based features * Implement RAG-based or AI-assisted workflows * Build APIs that connect AI services with frontend applications * Design scalable, maintainable system architecture * Optimize model performance and response latency * Ensure clean, well-tested, and production-ready code Required Technical Skills * Strong experience with **React** * Strong proficiency in **Python** * Hands-on experience with **NLP libraries** (e.g., spaCy, NLTK, Hugging Face Transformers) * Experience integrating **LLMs via APIs** * Experience building RESTful APIs (FastAPI, Flask, or similar) * Experience handling structured and unstructured text data * Solid understanding of backend architecture and data modeling Nice to Have * Experience with RAG architectures * Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) * Experience with cloud platforms (AWS, Azure, or GCP) * Docker/containerization experience * Experience deploying AI models to production * Familiarity with prompt engineering and evaluation workflows Engagement Details * Contract or freelance role * Remote * Initial short-term engagement with potential extension * Rate based on experience
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Out‑of‑Hours WhatsApp Business Automation
Out-of-Hours WhatsApp Business Automation – Project Brief Project Overview I am seeking an experienced developer to integrate a WhatsApp Business automation system for my business. The purpose of this project is to design and implement the core framework and logic for handling WhatsApp enquiries out of hours (8:00pm–8:00am UK time), when messages are currently unmanaged. Due to the nature of the business, enquiries are often time-sensitive. If customers do not receive an immediate response, they frequently look elsewhere. The system must therefore acknowledge and guide enquiries instantly. This phase is focused on system architecture, integration, and scalability, not on finalising message wording or content. Project Objectives The system must: - Operate only between 8pm and 8am (UK time) But have ability to extend these hours for Bank Holidays etc - Instantly respond to incoming WhatsApp messages during those hours - Distinguish between new customers and existing customers - Use rules-based logic and structured conversational flows - Provide website links so customers can book services immediately - Allow seamless handover to a human when required Important Scope Clarification This is not an AI or GPT-style chatbot. The solution should be predictable, controlled, and fully rules-based. I will be adding and refining large amounts of information later, including FAQs, pricing guidance, and service descriptions. The system must support extensive pre-programmed content that can be easily expanded over time. Functional Requirements Operating Hours Logic: - Automation active only between 8:00pm and 8:00am - Outside of these hours, WhatsApp should revert to manual handling Customer Identification: The system must identify new customers and existing customers using a method proposed by the developer. Conversational Framework: - Modular conversation flows - Keyword or menu-based routing - Support for multiple pre-programmed response paths Booking & Website Integration: - Ability to insert booking and information links into automated replies Human Handover: - Automation must stop immediately once a human responds Data Capture & Logging: - WhatsApp number - Date and time - New vs existing customer flag Scope of This Phase Included: - WhatsApp Business API integration - Out-of-hours automation logic - New vs existing customer handling - Scalable conversational framework - Basic documentation Excluded: - Final message wording - Full FAQ or pricing setup - Advanced AI or NLP systems Technology Open to recommendations, but likely to involve WhatsApp Business API, a backend service, and basic data storage. What to Include in Your Proposal Please include relevant experience, recommended platform, approach, timelines, costs, and any ongoing fees.
NLP Chunking Tokenisation Vectors and Queries
I am looking for an end to end solution using NLP and learning engine for 2 entity matches based on text and specific elements in the text. Any ideas, Mark
Ai-Powered Language Learning Platform
We are seeking a highly skilled AI/Machine Learning developer to extend and enhance the functionalities of our existing language learning platform. The core objective is to significantly improve the AI-driven exercise generation system to offer truly personalized and self-paced learning experiences for our users. The ideal freelancer will be responsible for developing and integrating advanced AI algorithms to create dynamic and adaptive exercises. This includes refining the intelligence behind exercise creation, ensuring content relevance, and adapting difficulty based on individual user progress and learning styles. Experience with natural language processing (NLP), machine learning frameworks, and educational technology is highly desirable. The goal is to make the platform more intelligent and effective in facilitating language acquisition.
Senior AI Developer /AI Automation Engineer (LLM, AI Agents,)
Job Overview: We are looking for an experienced AI Developer / AI Automation Engineer to design and build advanced AI applications, intelligent agents, and automation platforms similar to leading AI products for different industries.: • (AI-powered enterprise legal assistant) • (AI agent-based digital workforce platform) • (Generative AI business automation platform) • (AI analytics and marketing intelligence platform) These platforms leverage LLMs, AI agents, data pipelines, automation workflows, and API integrations to automate business operations, data analysis, marketing insights, and enterprise workflows. The ideal candidate should have strong experience in Generative AI, LLM development, AI agent frameworks, and automation systems. Key Responsibilities: 1. AI Application Development • Design and build AI-powered applications using LLMs • Develop AI agents capable of performing automated tasks • Implement retrieval augmented generation (RAG) systems 2. AI Agent & Workflow Automation • Build multi-agent AI systems • Create automated business workflows for: • marketing • analytics • customer support • data processing 3. LLM Integration • Integrate AI models such as: • OpenAI • Claude • Gemini • Llama • Fine-tune models for domain-specific applications. 4. Data & Knowledge Systems • Implement vector databases and semantic search • Build knowledge bases for enterprise AI assistants. 5. API & SaaS Integration Integrate AI with: • CRM systems • Marketing platforms • Google Ads / Meta Ads • analytics dashboards • internal business systems. 6. AI Analytics & Reporting Develop AI-powered analytics dashboards for: • marketing data • campaign optimization • predictive insights. Required Technical Skills AI / Machine Learning • Generative AI • Large Language Models (LLMs) • Prompt Engineering • RAG architecture • AI agents Programming Languages • Python (mandatory) • JavaScript / TypeScript • Node.js AI Frameworks Experience with at least one: • LangChain • LlamaIndex • AutoGPT • CrewAI • Semantic Kernel • HuggingFace AI Infrastructure • Vector Databases (Pinecone, Weaviate, Chroma) • Model deployment • AI APIs Cloud Platforms • AWS • GCP • Azure Databases • PostgreSQL • MongoDB • ElasticSearch DevOps • Docker • Kubernetes • CI/CD Preferred Skills • AI agent development • AI workflow automation • Data pipeline development • Marketing analytics AI • NLP systems • Chatbot / AI assistant development AI Products / Systems You May Work On Develop systems similar to: • AI Legal Assistant Platforms • AI Business Automation Agents • AI Marketing Analytics Platforms • Enterprise AI Knowledge Systems • AI SaaS Automation Tools Candidate Profile: We are looking for someone who: • Has strong experience building AI products • Understands LLM architecture and AI workflows • Can design AI SaaS platforms from scratch • Has experience building scalable AI systems Note: This is going to be a long term Full time position with good salary package. Please only apply if you are not working for any agency and you will be fully dedicated to work only with us since this is not one time project and we want those to be a part who want to be with us for long time. Best Regards Ashish
AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)
Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments
AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)
Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments
Female - Sales Closers Only ! Upto 1000 GBP PM !
About Us: At FinSafe, we’re dedicated to protecting individuals at high risk of scams. Our mission is to provide top-tier financial security and support. Position: Female - Sales Closers only Location: Remote Key Responsibilities: Conduct online consultations and provide tailored financial protection solutions. Demonstrate a minimum of three years of sales experience. Master objection handling and know the difference between customer service and closing. Utilize NLP techniques and understand leading and pacing to build rapport. Convert skeptical clients into satisfied, grateful customers. Ensure compliance without compromising sales effectiveness. Manage CRM systems effectively and understand AI tools like ChatGPT. Maintain a positive, target-oriented mindset, even on challenging days. Bring humor and creativity into the sales process. Requirements: Minimum of 3 years in sales. Proficiency in English (native speakers only). Deep understanding of compliance and ethical sales practices. Ability to handle objections with professionalism and empathy. Strong resilience and a goal-oriented attitude. Familiarity with AI and modern tech tools. Why Join Us? Be part of a mission-driven company. Work remotely with a dynamic team. Make a real difference in people’s lives. Apply Now! If you’re a strong candidate who meets these criteria, we’d love to hear from you. Help us protect the future of our clients!
Join FinSafe as a Sales Closer! Monthly Contract 500-100k GBP!
About Us: At FinSafe, we’re dedicated to protecting individuals at high risk of scams. Our mission is to provide top-tier financial security and support. Position: Sales Closer Location: Remote Key Responsibilities: Conduct online consultations and provide tailored financial protection solutions. Demonstrate a minimum of three years of sales experience. Master objection handling and know the difference between customer service and closing. Utilize NLP techniques and understand leading and pacing to build rapport. Convert skeptical clients into satisfied, grateful customers. Ensure compliance without compromising sales effectiveness. Manage CRM systems effectively and understand AI tools like ChatGPT. Maintain a positive, target-oriented mindset, even on challenging days. Bring humor and creativity into the sales process. Requirements: Minimum of 3 years in sales. Proficiency in English (native speakers only). Deep understanding of compliance and ethical sales practices. Ability to handle objections with professionalism and empathy. Strong resilience and a goal-oriented attitude. Familiarity with AI and modern tech tools. Why Join Us? Be part of a mission-driven company. Work remotely with a dynamic team. Make a real difference in people’s lives. Apply Now! If you’re a strong candidate who meets these criteria, we’d love to hear from you. Help us protect the future of our clients!
Full Stack Developer (React + Node.js + AI/ML Experience)
We are hiring a Full Stack Developer with strong hands-on experience in React (Frontend), Node.js (Backend), and AI/ML development. The candidate must have worked on AI APIs, model integration, and machine-learning–based application development. Key Responsibilities: Develop responsive UI using React.js, Redux/Context API Build and maintain Node.js/Express backend services Design and integrate REST APIs Implement and integrate AI/ML models, LLM APIs, NLP workflows Work with databases (MongoDB / MySQL / PostgreSQL) Deploy AI-driven applications on AWS / GCP / Azure Troubleshoot, debug, and optimize performance Collaborate with Product, UI/UX, QA teams Must-Have Skills React.js, JavaScript (ES6+), HTML/CSS Node.js, Express.js AI/ML development (TensorFlow / PyTorch / Scikit-learn) AI API integration (OpenAI, Gemini, Claude, HuggingFace, etc.) REST API architecture & JSON Database knowledge (MongoDB/MySQL/PostgreSQL) Git, Docker (basic) Good to Have Experience with vector databases (Pinecone, Weaviate, FAISS) Knowledge of RAG pipelines / embeddings Cloud deployment (AWS/GCP/Azure) Microservices architecture Project will be discussed with the selected candidate after an Interview. Thank you Ashish
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AI Chatbot Developer – Career Management Platform
Project Overview We are looking for a freelance AI Chatbot Developer to build and optimize a conversational AI assistant for our career management platform. The chatbot will help users explore career options, set goals, get personalized recommendations, and access coaching-style guidance. Scope of Work Develop an AI-powered chatbot using LLMs (OpenAI, Anthropic, etc.) tailored to career development workflows. Create dialog flows, prompts, and conversational logic that deliver personalized guidance and support. Integrate the chatbot into our existing web and/or mobile platform. Set up and fine-tune retrieval (RAG) using our content, resources, and user data (as allowed). Implement intent detection, context tracking, and user personalization features. Build internal tools for conversation review, testing, and iteration. Ensure all responses are accurate, safe, and aligned with career coaching best practices. Optimize model performance, latency, and cost. Provide documentation and optional post-launch support. Required Skills Proven experience developing AI or NLP-based chatbots, ideally using next-gen LLMs. Strong proficiency in Python, Node.js, or similar backend languages. Experience with RAG pipelines, vector databases (e.g., Pinecone, Weaviate, Chroma), and prompt engineering. Ability to translate career coaching frameworks into conversational experiences (or willingness to learn). Experience integrating AI systems into production apps (APIs, webhooks, front-end handoff). Good communication, documentation, and self-management—comfortable working independently. Nice-to-Have Background in career coaching, HR tech, edtech, or talent development. Experience with analytics and A/B testing for conversational AI. Knowledge of AI safety, bias mitigation, and user experience best practices.
Elite Short-Form Editor Wanted | Turn Impact into Virality
Ready to create viral content for a world-class personal brand? I’m searching for a top-1% short-form video editor who can turn transformation into engagement. I’m a Certified NLP Master Practitioner and Best-Selling Author helping creators and entrepreneurs find true business-life balance. Now I’m building a movement — and I need an editor who edits like an artist and thinks like a strategist. You’ll Thrive If You: Have edited viral Reels/TikToks that hit millions. Know how to hook attention in 1 second and hold it for 60. Live and breathe trends, pacing, and storytelling. What You’ll Get: Part time. To Apply: Send 3–5 of your strongest edits, proof of performance (metrics/screenshots), and the creators you’ve worked with. This isn’t for dabblers — it’s for editors ready to dominate.
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Ai scraper for company details
We are seeking a skilled developer to create an AI-driven web scraper designed to extract verified business contact details and email addresses from public sources. The solution must adhere to GDPR regulations, incorporate email validation (SMTP/MX), eliminate duplicates, and produce clean outputs in CSV format or via API for outreach purposes. The project should be executed in Python or Node.js, utilizing AI/NLP techniques for effective name and role extraction. A user-friendly interface or CLI is required to initiate jobs, manage data exports, and review logs. The expected delivery timeframe is two weeks. Please include examples of prior scraping projects, your strategy for ensuring GDPR compliance and email validation, as well as a fixed price quote along with the anticipated completion timeline.
Full-Stack Developer –AI-Driven Real Estate LeadGen&Marketplace
Freelance Full-Stack Developer – AI-Led Commercial Property Platform (UK) We are a London-based commercial property agency looking for an experienced freelance full-stack developer (or small team) to build a custom, AI-driven, fully automated lead generation and property marketing platform. This is a high-impact greenfield project with immediate start. About the Project The platform has two phases: Phase 1 (Immediate Priority – Internal System) Build a secure, scalable database and automation engine to: • Create a London-wide tenant database (company, address, size, rent, lease dates, growth tracking) • Auto-generate leads using scraping tools and data sources • Run multi-channel drip email campaigns from multiple domains • Trigger instant alerts to agents when emails or links are opened • Match tenants to suitable properties automatically • Auto-organise viewing tours and request data from external agents • Upload PDFs and extract/rewrite property data using AI • Generate internal reports and documentation automatically • Provide landlord reporting dashboards (email stats, viewings, feedback, fees) • Enforce strict user permissions and data security Current tools include HubSpot, Agents Society and Valve, but this will be a custom-built core system. No in-house developers. Team of 5 agents. Phase 2 (Public Website) Build a market-leading London office marketplace with: • Advanced property search, saved searches and alerts • Tenant tools: Stay vs Go calculator, space calculators, timelines • Guides and insights similar to leading design & build brands • User tracking, comparison tools and instant viewing requests • Integrated third-party services (D&B, furniture, surveyors) Skills Required • Full-stack development (backend, frontend, database, hosting) • Experience with automation, CRM systems, scraping, APIs, email systems • Strong security and user-permission architecture • AI/NLP experience for document extraction and content rewriting (preferred) • Strong UX/UI capability • Excellent communication and project ownership Start, Budget & Payment • Start: ASAP • Phase 1 required urgently • Open budget – you must propose: • Hourly or milestone-based pricing • MVP timeline • Long-term support and future work likely To Apply Please provide: • Portfolio or examples of similar platforms • Technical approach and proposed stack • Availability and rate • Any experience with CRM automation, proptech or SaaS platforms This is a rare opportunity to help build a next-generation AI commercial property platform from the ground up with long-term potential.
Lead Intelligence & Scoring
Develop a machine learning model to calculate lead scores based on demographics, behavior, engagement, and communication data. Implement labeling and tagging mechanisms to classify and organize leads based on interaction types, content, and sentiment. Build a natural language processing (NLP) module to analyze incoming messages, emails, and communication history for intent and tone. Create a persona identification engine for precise lead segmentation. Integrate email and message analytics (open rates, response patterns, sentiment trends) into lead scoring. Implement a Hot/Cold lead alert system to detect significant status or engagement changes. Develop an early pipeline prediction model to identify high-value or at-risk leads. Deliver a secure, modular AI pipeline with retraining logic and full API integration into the CRM as part of the system’s core architecture.