Nlp tokenization jobs

I am building an end-to-end pipeline that ingests millions of legal filings and returns clean, structured data ready for downstream analytics. Your focus will be to design, train, optimise and productionise state-of-the-art language models that reliably identify every relevant detail buried in those texts. The core task is named-entity recognition on complex legal prose. Models must capture the BIO boundaries and output rich entity labels while remaining performant at scale. I expect you to work comfortably with transformers, LLMs and RAG-style retrieval, refining them through techniques such as distillation, quantisation and pruning so inference stays fast and cost-effective. Entities to extract • Names and addresses • Legal terms and clauses • Dates and case number...

...I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • A trained model saved in a shareable format • Evaluation report outlining methodology, key metrics, strengths, and limitations • Brief hand-off session or concise written guide so I can retrain or fine-tune the model later Please include examples of similar NLP predictive projects you’ve completed and note any pre...

...WhatsApp. Test the chatbot to make sure it is stable, accurate, and reliable. Ideal Skills Experience with setting up and deploying AI chatbots. Good testing and troubleshooting skills. Ability to suggest improvements based on best practices. Your role will help improve customer engagement by making sure the chatbot gives accurate and helpful responses. If you’re experienced with cloud-hosted NLP models, WhatsApp Business API setup, and systematic QA, I’m keen to get started right away....

I need a script that automatically produces engaging, medium-length text descriptions (about 100–200 words each) for a wide range of world locations to be used on my Vibe Coding project. The focus is strictly on written content—no images or video assets are required—...README explaining setup, dependencies, and how to invoke the generator • Sample output for five example locations so I can verify the tone, length, and formatting Acceptance criteria – Every generated description falls within the 100–200-word range – No duplicate sentences across locations – Output is free of spelling and grammar errors If you’ve built content generators before or have NLP experience, I’d love to see examples, but a clean, dependable...

I need a script that automatically produces engaging, medium-length text descriptions (about 100–200 words each) for a wide range of world locations to be used on my Vibe Coding project. The focus is strictly on written content—no images or video assets are required—...README explaining setup, dependencies, and how to invoke the generator • Sample output for five example locations so I can verify the tone, length, and formatting Acceptance criteria – Every generated description falls within the 100–200-word range – No duplicate sentences across locations – Output is free of spelling and grammar errors If you’ve built content generators before or have NLP experience, I’d love to see examples, but a clean, dependable...

...specific stack, but it must support rapid model iteration, GPU acceleration where available, and straightforward scaling once usage grows. For acceptance I will review: 1. A hosted staging URL demonstrating each AI feature above. 2. Source code and model configuration in a Git repository. 3. Brief docs outlining setup, retraining and deployment steps. If you are confident integrating vision, NLP and generation models into a cohesive web product, I’d love to see how you would architect ViewSeek AI and a timeline to get us to launch....

...Technical Scope (Condensed) You will handle: Telephony: Asterisk or equivalent Backend: FastAPI / Django or similar Messaging: Chatwoot or equivalent AI: NLP classification, sentiment, risk scoring Data: PostgreSQL + dashboard tool (Metabase or similar) Deployment: Docker-based, secure cloud setup Budget Guidance We are open to serious, well-justified proposals. Expectation: $3,000 – $7,000 fixed price Proposals far below this range will be treated as high risk Preferred Agencies You are a strong fit if you have: Delivered end-to-end platforms (not just components) Experience with telephony or call centre systems Built AI-enabled products (NLP, classification, automation) Worked in Africa, emerging markets, or public health systems Screening Questions (Must Answer) I...

...integration, specifically Programmable Voice and TwiML • Hands-on experience with OpenAI API (ChatGPT or similar models) • Knowledge of telephony protocols (SIP, WebRTC, PSTN) • Experience with voice-based AI applications and speech recognition • Strong skills in error handling and fallback mechanisms for AI responses • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) • Understanding of NLP techniques and frameworks Deliverables: • Complete integration between OpenAI and Twilio for automated call handling • Optimized system for performance, scalability, and reliability • Comprehensive error handling and fallback mechanisms • Testing across multiple scenarios and use cases • Documentation and training materials ...

I need help deploying my H200 GPUs specifically for machine learning tasks using PyTorch, with a focus on Natural Language Processing (NLP) models. Key Requirements: - Set up the H200 GPUs for PyTorch - Optimize the environment for NLP tasks - Ensure scalability and performance Ideal Skills: - Experience with H200 GPUs - Proficiency in PyTorch and NLP - Strong background in machine learning deployment

AI &...to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (e.g., fraud detection modeling, LLM Chatbot development). Mandatory Requirements: Candidates must have valid certifications in ML/LLM/Data Science, proven experience training advanced technical audiences, and high proficiency...

I have a VPS server configured and ready to host a sales-focused chatbot that plugs directly into my website. The primary goal is to guide visitors toward the right products through smart, real-time recommendations, helping convert casual browsing into purchases. Here is what I expect: • A production-ready server environment installed with the framework you feel is most efficient for NLP and conversation flow. • Secure API or JavaScript widget that lets me drop the chatbot onto any page of the site with minimal code. • Product-recommendation logic wired to my existing product catalogue or feed, so the bot can surface items dynamically based on user input. • Clear documentation covering server setup, environment variables, and how I can retrain or update ...

...Technical Scope (Condensed) You will handle: Telephony: Asterisk or equivalent Backend: FastAPI / Django or similar Messaging: Chatwoot or equivalent AI: NLP classification, sentiment, risk scoring Data: PostgreSQL + dashboard tool (Metabase or similar) Deployment: Docker-based, secure cloud setup Budget Guidance We are open to serious, well-justified proposals. Expectation: $3,000 – $7,000 fixed price Proposals far below this range will be treated as high risk Preferred Agencies You are a strong fit if you have: Delivered end-to-end platforms (not just components) Experience with telephony or call centre systems Built AI-enabled products (NLP, classification, automation) Worked in Africa, emerging markets, or public health systems Screening Questions (Must Answer) I...

...pipeline: models, endpoints, integrations, and the pixel-perfect interface that showcases them. Please share two or three live links that illustrate projects where you handled both the UI/UX and the AI or automation layer; I’ll review design finesse, code architecture, and real-world impact. Deliverables 1. Responsive web application following Material Design best practices 2. AI services (NLP, predictive, vision) exposed through secure REST or GraphQL endpoints 3. Admin dashboard and basic analytics 4. Deployment script or CI/CD config with documentation A short loom or walkthrough demonstrating each feature in action will serve as final acceptance....

...• Building an interactive dashboard (Streamlit preferred) • Designing and executing research experiments with clear evaluation metrics Research Requirements (Core of Project) You must treat this as a research problem, not just implementation. 1. Skill Extraction Reliability • Extract skills from job descriptions using multiple approaches, such as: • Rule-based (regex / keyword matching) • NLP-based (spaCy / NER) • Embedding-based (semantic similarity) • Compare methods systematically • Evaluate performance using: • Precision • Recall • F1-score • Provide: • Clear comparison of methods • Error analysis (false positives / false negatives) • Justification of best approach 2. Salary Estimatio...

...Firebase • High-speed caching/pub-sub: Redis • Infrastructure & DevOps: Microsoft Azure (App Service, Functions, Container Apps, Azure SQL/Storage, and Redis Cache) Scope of work 1. Design a clean React interface that consumes RESTful and WebSocket endpoints. 2. Build scalable Node.js gateways that route traffic to .NET microservices and manage authentication/authorization. 3. Implement NLP and predictive models (Azure Cognitive Services or custom models) and expose them through the .NET layer. 4. Add Redis caching and message queues to keep responses low-latency. 5. Set up Azure pipelines for automated build, test, and deployment to staging and production slots. Acceptance criteria – Component-based React code passes unit tests and Lighth...

...interpret both typed and spoken input, decide whether to answer directly or trigger a search, and respond conversationally. • A responsive GUI in PyQt that works seamlessly on desktop browsers through WebAssembly or a comparable bridge, with a native desktop build for Windows/macOS/Linux. What I’ll look for in your delivery 1. Clean, well-documented Python code (PyQt, speech-recognition, TTS, NLP libraries of your choice). 2. A modular design that lets me later plug in deeper contextual search or mobile support without refactoring the core. 3. Setup scripts or Docker files so I can spin the project up locally and deploy to a web host. 4. A brief user guide plus inline developer comments. If you have previous examples of voice-enabled assistants, chatbots, o...

I'm looking for an experienced developer to create an AI agent. Essential skills and experience include: - Proficiency in AI technologies - Strong coding skills, preferably in Python or JavaScript - Experience with NLP, machine learning, or predictive analytics Please provide a portfolio of similar work.

I'm looking for an experienced developer to create an AI agent. Essential skills and experience include: - Proficiency in AI technologies - Strong coding skills, preferably in Python or JavaScript - Experience with NLP, machine learning, or predictive analytics Please provide a portfolio of similar work.

Looking for a highly skilled retail, merchandising, and pricing Data Scientist with deep expertise in AI, Generative AI, and NLP, who has hands-on experience building the following and can walk through in-depth examples and solutions they have implemented across diverse real-world scenarios to drive scalable retail, merchandising, and pricing initiatives, with strong expertise in forecasting, optimization, assortment, and inventory management. - Walk us through an in-depth end-to-end implementation of each of the points mentioned below. Advanced Forecasting Models & Time Series: Design and deploy univariate, multivariate, and hierarchical demand forecasting algorithms for long-range, multi-echelon predictions. Handle cold-start problems, cross-level reconciliation, and sc...

I need a self-contained AI pipeline that turns plain sentences into fully rendered 2D animated videos. The entire workflow must run offline on our own GPU servers—no external APIs or cloud calls. Pipeline goals • Ingest: clean text input (full sentences) • Interpret: extract narrative, characters and scene cues with an LLM or rules-based NLP module • Generate: create on-model storyboards and keyframes, then interpolate to smooth 24-30 fps motion • Render: output MP4 or MOV at 1080p (minimum) with transparency-capable layers so we can later composite or edit • Export: knock-out audio placeholders so our sound team can sync voice-overs later Tech preferences I’m comfortable with PyTorch, Stable Diffusion/AnimateDiff, ControlNet, and O...

...Chatbot is an intelligent healthcare assistance system developed using Machine Learning, Natural Language Processing (NLP), and Conversational AI technologies. The main objective of this project is to help users analyze symptoms, predict possible diseases, and generate preliminary medical guidance through a conversational chat interface. The chatbot interacts with users in a human-like manner by accepting symptom-related queries in natural language, such as fever, cough, headache, fatigue, or other health concerns. Using trained machine learning models, the system processes the user’s symptoms and predicts the most probable disease or medical condition. The project integrates NLP techniques to understand user input, extract symptoms, and convert them into a structu...

I'm looking for an AI system that can extract and compare text data from documents, specifically PDF and Word files. Key Requirements: - Develop an AI model to process and analyze text. - Extract data from PDF and Word documents. - Compare extracted data for insights. Ideal Skills and Experience: - Expertise in AI and machine learning. - Experience with NLP (Natural Language Processing). - Proficiency in handling PDF and Word document parsing. - Strong background in data comparison and analysis. If you have a proven track record in building similar systems, please reach out.

I’m creating an interactive AI avatar that can talk users through their symptoms and suggest the most likely illnesses behind them. The goal is not to replace a physician, but to give people an informed, friendly first step before deciding wheth...( all devices will we provided to users via kisosk e.g Cloudclinic) ↓ AI analyzes results ↓ AI gives health report and suggestive diagnostics + medicines advice ( which is reviewed by remote doctor) ↓ Optional doctor consultation( video consultation) ↓ Users exits and test report, medical history, diagnostics etc are send to user phone If you’ve worked with symptom-checker datasets, clinical NLP models, or avatar rigs before, tell me how you’d approach training, bias control, and ongoing updates. L...

Description: I am building a research-based job market analytics system (US market) and need an experienced Python/NLP developer to help complete it end-to-end. Scope of Work: The project includes: • Data processing of large job datasets (10k-50k+ rows) • Extracting technical skills (Python, SQL, AWS, etc.) from job descriptions • Salary analysis and estimation (with validation using official BLS data) • Job demand trend analysis and forecasting • Building an interactive dashboard (Streamlit preferred) • Supporting research experiments and evaluation Research Requirements (Very Important): You must work on all 3: 1. Skill Extraction Reliability • Extract skills from job descriptions • Compare multiple methods • Evaluate (precision...

...points you will be handling: • Build once, run on both iOS and Android. • A clean, graphical interface with images pulled or referenced from the manual where relevant. • Symptom entry strictly through dropdown menus to keep it quick and mistake-free. • Back-end logic that parses the PDF (text + embedded diagrams) and stores it in a searchable format—feel free to use PDF parsing libraries, NLP, or a lightweight vector database if that speeds up lookups. • Local-first data storage is preferred so technicians can keep working offline, with cloud sync when connectivity returns. Deliverables I expect: 1. Fully compiled apps (APK + IPA or TestFlight build) ready for internal deployment 2. Source code with clear instructions for rebuilding...

I need a Natural Language Processing solution that accurately classifies social-media posts into predefined categories. The raw text will be provided in CSV format; it comes directly from public platforms and carries the usual noise—emojis, hashtags, abbreviations, and mixed languages—so an effective preprocessing pipeline is as important as the model itself. Here is how I picture the workflow. • Data handling: robust cleaning, tokenisation, and normalisation that respects emojis and common social-media shorthand. • Model building: a modern text-classification architecture (transformers via HuggingFace, or a lightweight scikit-learn baseline if you can justify comparable performance). • Training & evaluation: use train/validation/test splits and report ...

I have a project in mind: a custom-built AI chatbot that can engage users naturally and handle real-world conversations without sounding scripted or robotic. I’m open to your professional guidance on the best architecture, framework, and hosting approach. Here’s what I need from you: • A clear proposal outlining the conversational design, tech stack (for example, Python, Node.js, or any NLP-ready framework you trust), and an estimated delivery timeline. • End-to-end development of the chatbot logic, training and fine-tuning of the language model, plus seamless deployment. • Clean, well-commented code and brief handover documentation so I can understand, maintain, and scale the system after launch. Acceptance criteria: 1. The bot reliably unde...

I need an AI-powered receptionist whose core duty is to guide visitors on my website from their initial query straight to a confirmed appointment. The bot must converse naturally, collect the necessary details, check calendar availability ...be able to answer service and product questions drawn from a knowledge base I will supply. Deliverables • Embedded chatbot or widget fully operational on the site • Two-way calendar sync that prevents double-booking • Brief setup and training documentation so my team can update answers and availability independently Experience with tools such as Dialogflow, Rasa, BotPress, or comparable NLP platforms—plus solid JavaScript and front-end skills—will be ideal. I’m ready to move quickly and would like to se...

... – Build a lightweight CRM inside the same stack, focusing on solid Contact Management and Customer Support Management flows. – Add automation options for drip campaigns so I can trigger sequences from tags, dates, or webhook events. Multichannel AI Chatbot – Extend the existing WhatsApp logic to an AI-driven chatbot that answers on WhatsApp, Instagram, and Facebook from one central brain. NLP, intents, fallback responses, and simple training UI are all expected. Control Panels – Create an admin panel featuring User Management, an Analytics Dashboard, and full Settings Customization so I can tweak limits, keys, and message templates without touching code. – Include a reseller panel that lets me spin up sub-accounts, set message quotas, and ...

...launching a new training calendar and the first item on the list is an Artificial Intelligence & Machine Learning batch that must dive straight into advanced territory. The cohort already has solid foundations, so the sessions need to centre on Deep Learning—building, tuning and deploying neural-network models with real-world datasets. If you’re also comfortable branching into Reinforcement Learning or NLP later, that flexibility will be a plus for the longer roadmap, but the immediate priority is Deep Learning mastery. The sessions will be delivered live (online or hybrid can be arranged), and I’ll rely on you to: • Shape a clear, week-by-week syllabus covering CNNs, RNNs, transformers, optimisation tricks, model interpretability and MLOps basics usi...

I need to update my website’s chatbot to offer more detailed explanations about the site. The updated chatbot should provide users with insights into the site's features, services, and content. It should seamlessly integrate with the existing website, using natural language processing (NLP) to handle a variety of queries and provide accurate responses. The goal is for the chatbot to explain sections like "About Us," "Services," and "Contact" in a user-friendly, conversational manner. I expect the chatbot to be intuitive, easy to use, and optimized for speed and responsiveness across devices. The final deliverable should include a fully integrated, functioning chatbot, along with documentation for future management.

Project Title: AI-Powered Restaurant Solution – Seeking Long-Term Strategic AI & Development Partner Project Description: I am looking for a highly skilled company or team specializing in Artificial Intelligence, particularly in NLP and custom language model development, to collaborate on building an advanced smart solution tailored for the restaurant industry. The project targets a business-rich region where restaurants can greatly benefit from AI-driven automation, intelligent customer interaction, and operational efficiency. A core component of this solution is developing and training a custom AI model capable of understanding and interacting in two specific languages and regional dialects relevant to the target market. The system should handle real-world use cases s...

Project Overview : We are looking for an experienced full-stack development team to build a scalable, AI-powered job portal. The platform will use artificial intelligence to automate resume screening, provide personalized job recommendations, and enhance the overall recruitment experie...control and optional OTP functional web application (responsive for mobile/desktop).Source code with clean, well-documented with third-party APIs for AI deployment and testing Candidate ProfileProven track record in developing AI/ML-integrated web understanding of Natural Language Processing (NLP) for text extraction and in building secure, scalable recruitment or marketplace platforms.

...underlying architecture needs to be truly channel-agnostic. Conversation quality must feel advanced: natural language understanding, contextual memory across sessions, intent recognition, small-talk handling, plus the ability to surface personalised offers or knowledge-base articles without sounding scripted. If you like working with GPT-4, Rasa, Dialogflow CX, LangChain, vector databases, or similar NLP stacks, that’s exactly the toolbox I expect you to draw from—use whatever combination delivers the most reliable, low-latency performance. I’ll provide brand guidelines, sample workflows, and the initial FAQ/content; you’ll deliver the trained model, well-commented codebase, deployment scripts, and an admin dashboard where my team can tweak intents, view...

...n8n platform, this agent integrates telephony services, speech-to-text, and AI models to make or receive calls, understand user queries, and respond intelligently in real time. The AI calling agent can perform tasks such as lead qualification, appointment booking, customer support, follow-ups, and surveys without human intervention. It converts voice input into text, processes it using AI (like NLP models), and generates context-aware responses, which are then converted back into speech. With n8n’s no-code/low-code approach, businesses can easily design custom call flows, connect CRMs, APIs, and databases, and automate entire communication pipelines. This results in faster response times, reduced operational costs, and a scalable solution for handling large volumes of cal...

AI/ML Engineer (7+ Years Experience) Job Description: We are looking for a highly experienced AI/ML Engineer with 7+ years of experience in designing, developing, and deploying machine learning models. The candida...preprocessing, and feature engineering Work with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn Optimize models for performance and scalability Collaborate with teams to deliver project requirements Requirements: 7+ years of experience in AI/ML or Data Science Strong knowledge of Python Experience with Machine Learning, Deep Learning Hands-on experience with TensorFlow / PyTorch Knowledge of NLP, Computer Vision, or similar domains Good problem-solving and communication skills Preferred Locations: Egypt, Philippines, Pakistan, Bangladesh, Indonesia, Morocc...

...cluster them, and predict escalation paths in real time. I already have access to several labelled incident datasets and a sandboxed SIEM for testing. What I need now is a researcher who can take ownership of the algorithmic exploration: survey recent NLP approaches, design and prototype novel correlation logic, and benchmark it against existing methods on precision, recall, and time-to-detect. Key deliverables: • Concise literature review highlighting gaps we can exploit • Prototype code (Python preferred) implementing at least two fresh NLP-driven correlation strategies • Evaluation report with metrics, confusion matrices, and visual insights • Recommendations for production hardening and future research directions Experimental freedom is e...

...encryption. DevOps: Linux (Ubuntu/Debian), Docker, Nginx, and SSL/TLS configuration. Hi everyone, Thank you for your interest in our project. We are looking for an experienced Full-Stack Developer (or a small team) to finalize several critical modules for our specialized application designed for case management and forensic analysis. Project Scope & Pending Tasks: 1. AI & Document Processing (OCR/NLP) Charge Sheet/Case Diary Analysis: Fixing tabular data extraction issues and improving accuracy (target 90%+) for Charge Sheets, Case Diaries, and Remand Reports. Translation Optimization: Transitioning our translation API from Google Vision to Azure. Translation Caching: Implementing a storage system for petitions/complaints to reuse translations and reduce API costs. Usage ...

I need a clear picture of how two specific Instagram accounts have interacted through direct messages. Your task is to mine ...keywords or topics, and any spikes in activity worth highlighting. • Deliver a well-structured report—PDF or Google Doc is fine—plus a spreadsheet or database dump with the raw and cleaned data so I can run my own queries later. Visuals such as timelines or simple charts are a bonus if they help tell the story. Feel free to rely on Python, the Instagram Graph API, headless browser scraping, Pandas, NLP libraries, or any workflow you are comfortable with, provided you stay within Instagram’s terms of service and keep personal data secure. Let me know in your bid which approach you prefer and how long it will take to hand over the fin...

...save time by automating routine processes. Objectives: To design a system that can automate daily or business-related tasks To integrate AI techniques such as machine learning and natural language processing To enhance productivity by reducing manual work To create a user-friendly interface for easy interaction Key Features: Automated task scheduling and execution Natural Language Processing (NLP) for understanding user commands Data analysis and decision-making capabilities Integration with third-party tools (email, databases, apps) Real-time monitoring and reporting Technologies Used: Programming Languages: Python / JavaScript AI Frameworks: TensorFlow / PyTorch APIs: OpenAI API, Google APIs Database: MySQL / MongoDB Tools: Automation platforms like Zapier or custom scrip...

...source lacks one • Hold each item in a staging queue for my quick review • Push approved items to the app through its REST/GraphQL API, on a daily or weekly schedule I can adjust For catalogs, be ready to download PDFs or scrape product pages, then pull out spec sheets and key attributes. Everything must remain traceable back to the original URL or document. Build the agents end-to-end—scraper, NLP enrichment, database, scheduler, and API integration. Python (Scrapy, LangChain, OpenAI, BeautifulSoup), or a comparable stack, is ideal but not mandatory if you can deliver the same reliability and speed. Timing is critical; I’d like a working MVP ASAP, followed by refinements once we see real data flowing. Please share a concise plan, the toolset you pref...

...toward relevant products to boost sales, and keeping the overall experience lively with smart engagement prompts. Here’s what I’m after: you’ll design, train, and deploy the conversational model, hook it into my existing REST endpoints for user data and order processing, and hand back clean code that slots straight into our cross-platform build. Dialogflow, Rasa, LangChain, or another modern NLP framework is welcome so long as response times stay low and everything runs inside our cloud environment. Key deliverables • Intent recognition, multi-turn dialogue management, and fallback to a live-agent API • Integration-ready modules for both iOS and Android builds • Light analytics or export so we can monitor usage and retrain models &bull...

I need an NLP solution to accurately translate podiatry doctors' notes into medical codes. The solution should support the following code types: CPT, HCPCS, ICD-10-CM, SNOMED, and NCCI. Requirements: - High accuracy in code translation - Ability to handle complex medical terminology - Fast processing time - User-friendly interface for easy integration Ideal Skills & Experience: - Expertise in NLP and machine learning - Background in medical coding and terminology - Experience developing medical NLP applications - Strong programming skills, preferably in Python Looking for a developer who can deliver a reliable and efficient solution.

Senior MCP Server Engineer – Python/FastAPI or Node.js/TypeScript (AI Agents + Gateway) We're building a modular AI ecosystem for RWA tokenization, family offices, and automation. Freelance Mission: Design/implement 1 MCP Gateway (routing, JWT auth, rate-limiting, multi-tenant isolation via CLS/Prisma) + 10 custom MCP servers (RWA/assets, investors/clubs, workflows, KYC/KYB, documents x2). Connect to existing backend (Supabase/PostgreSQL APIs) for real data exposure to LLM agents. Prioritize types/ESM-CJS, security (scopes, audit trails). MCP Architecture: Gateway federate servers → seamless access for an LLM orchestrator + external LLMs. Deliverables: Docker-ready code, minimal docs/examples. Profile: Senior Backend MCP/AI expert (Python/FastAPI OR Node/TS). RW...

...considerations. • Scaling and cost-optimisation guidelines, including GPU/CPU requirements and a roadmap for moving from prototype to production. • Security and governance notes—role-based access, secrets management, and audit logging. • A rollout strategy with clear milestones so internal teams know exactly how to implement what you design. If you have prior experience architecting LLM-centric NLP solutions in the cloud (AWS, GCP, or Azure), please mention the real-world challenges you solved. Diagrams can be delivered in , Lucidchart, or another clear visual format alongside a concise written rationale (PDF or Markdown). I’m ready to start as soon as I find the right fit and will be available to clarify domain specifics and legacy system const...

...Bosnia) 5. Project Start: After you passed the test, you will start the official task in the next week 6. Entry Requirement: Free test passed Hiring Process: CV review >> Rate Negotiation >> Test >> Test passed & Onboarding >> Sign Contract >> Join in the Project Candidates Requirements: 1. Translation and linguistic evaluation skills 2. Prior experience in QA evaluation, annotation, or similar AI/NLP projects is highly preferred 3. Strong command of the target language (Serbian Cyrillic/ Bosnia); native speakers preferred, but non-native candidates with strong proficiency are also welcome 4. Ability to quickly understand guidelines and follow multiple evaluation criteria accurately...

...deployment reliability, reproducibility, CI/CD practices, and model monitoring Required Skills - 5+ years of experience in the AI/ML domain Strong Python skills Strong experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX Experience with LLM fine-tuning, prompt engineering, adapters, RAG, vector databases, and multimodal pipelines Strong grounding in classical ML, deep learning, NLP, CV, applied ML, and MLOps Experience designing end-to-end AI systems from training to inference to monitoring Experience with APIs, microservices, cloud platforms, and containers Strong problem-solving ability, communication, and ownership mindset Preferred - Experience building internal AI tools or reusable AI platforms Experience with AI evaluation frameworks, production guardrai...

...the technical lead for an integrated ecosystem of 8 interconnected websites, with strong ties to finance, MFOs, private clubs and investors. The project includes both: Rebuilding existing sites (currently in WordPress), and creating new sites and interfaces on a shared modern architecture. Project Goal Design and implement a unified technical architecture for 8 ecosystem websites (RWA tokenization, MFO, investor clubs, AI, MCP, etc.). Gradually move away from a “WordPress everywhere” approach towards: a shared backend in Node.js/TypeScript, and modern frontends in React/Next.js. Strengthen security, consistency, and prepare for a future central application and mobile apps. Target Stack Backend Node.js + TypeScript ( or similar). REST and/or GraphQL APIs. ...

...warm leads (score > 60, no WhatsApp response in 2 hours), bot calls and attempts to close the deal. 3. Integration & Logging (10% of effort) Integrate with Zoho CRM via REST APIs (read/write leads, quotations, bids). Integrate with VICIdial via AGI scripts. Store full conversation transcripts (WhatsApp + calls) into Zoho Notes for audit trail. Technical Requirements & Stack Component Technology NLP / Intent Recognition Rasa, Dialogflow ES/CX, or custom transformers (e.g., BERT fine-tuned) WhatsApp Integration WhatsApp Business API (Meta) – via Twilio, WATI, or official API Voice Bot Google Dialogflow CX Phone Gateway / Amazon Lex + Polly / Asterisk AGI Backend Microservice Python (FastAPI/Flask) or Node.js Deployment AWS Lambda / EC2 / DigitalOcean (or any cl...

...PyTorch, or the finer points of Software Architecture—you will join the call, introduce yourself on behalf of the engineer, and guide the conversation toward closing the engagement. Because every prospect is different, I am looking for someone already comfortable in the technology sector. Familiarity with Software Architecture is essential; being able to reference image processing, deep-learning or NLP concepts conversationally will help you sound native to our work. Logistics & expectations • Location: you must physically reside in the United States, Canada, or Europe so time-zone alignment feels natural to clients. • Language: fluent, near-native English with a professional yet friendly tone. • Availability: fully remote, set your own hours—...