Machine Learning (ML) Jobs

INGENIERO SENIOR DE IA: SISTEMA RAG MULTIMODAL ON-PREMISE CON APRENDIZAJE CONTINUO 1. CONTEXTO Y DESAFÍO REAL proyecto del sector de la trefilería y el galvanizado con más de 40 líneas de producción activas. desafío no es la falta de información, sino que el conocimiento crítico es volátil: reside en la experiencia de supervisores y operarios veteranos y se transmite de forma verbal. Cuando surge una solución técnica en planta, esta no se documenta y se pierde para el siguiente turno. Buscamos desarrollar un ecosistema de IA que no solo responda preguntas, sino que capture y democratice el conocimiento técnico que surge en el día a día. 2. LA SOLUCIÓN: "THE KNOWLEDGE LOOP" B...

I already have two live avatars that mirror real people as they speak to one another, yet the current pipeline adds several seconds of lag. I need your help driving total end-to-end latency (mouth movement, facial animation, and generated voice) down to a hard ceiling of one second while keeping everything completely self-hosted—no paid APIs or usage-based services. The finished solution must plug straight into my existing platform and remain free for the public to use. You will begin by profiling the present stack, spotting where frames or audio buffers pile up, then redesign the generation and streaming loop so that speech-to-text, text-to-speech, facial blend-shape synthesis, and video compositing all run in near real time. GPU acceleration, WebRTC, low-level ffmpeg calls, on-dev...

The project centres on building a production-ready text-classification pipeline that leverages modern deep-learning techniques. I have a labelled dataset and need end-to-end code that ingests the text, handles cleaning and tokenisation, and trains an accurate classifier. Python is the preferred language; using PyTorch, TensorFlow or another mainstream framework is fine as long as the solution is reproducible and easy to extend. Key deliverables: • Well-commented source code (data loading, model, training loop, evaluation) • Clear instructions to run training on a fresh machine (README or notebook) • Metrics report showing accuracy, precision, recall and F1 on a held-out set • Exported model weights and a small inference script or API endpoint for batch prediction...

I need a partner who can walk me through the full process of quantifying and explaining feature importance across several classic models—specifically Linear Regression, Decision Trees and Support Vector Machines—using Python. The goal is to compare and contrast interpretability techniques such as SHAP, LIME, PDP and ICE, then package the findings so that non-technical stakeholders can easily understand why each feature matters. What I expect from you • Well-structured, reproducible Python code (preferably in Jupyter notebooks) showing how each model is trained and how the above interpretability methods are applied. • Clear visualisations and narratives that highlight where and why the different methods agree or diverge. • At least one live session (Zoom, M...

It is a Master level project, I want you to do it from the start where thing should be done by like research, getting required datasets, coding, project report and etc.. what the project looks like is that, it should be a interactive program where it's predicts the CO2 emissions of each county in ireland like what would be the CO2 emission tomorrow based on the energy consumption, real time weather data of that county. If the county's CO2 emission is high then the county should be red, if medium then yellow and if low then green. All this should be using 3D digital twins visualization and prediction, use Cesium pipeline.

We are launching a gamified, project-based platform that empowers teams to solve environmental, social, and economic challengese. To move from concept to scalable reality, we hands-on AI project an architect who can help us implement our AI strategy. The ideal resource will be a MEAN stack/Python developer. You will be helping us create and implement the following: • An adoption roadmap that ties specific AI capabilities to each stage of our workflow and project milestones, showing where automation, prediction, or generative content delivers the most value. • A reasoned “why this, not that” selection of tools—think Hugging Face transformers versus OpenAI GPT-4, TensorFlow or PyTorch for model training, spaCy for NLP, Vision APIs for image tasks—plus ra...

Hiring Freelancers – AI / Computer Vision & Edge Systems Confidential Enterprise Project (NDA Required) We’re looking to engage a few experienced freelancers for a confidential, enterprise-grade technology project involving computer vision and edge AI. The work is part of a real production deployment (not a research project or demo). Detailed project information will be shared only after shortlisting and NDA signing. Engagement Details Type: Freelance / Contract Duration: ~3–4 months (extension possible) Commitment: Full-time preferred (role dependent) Work mode: Remote (India preferred) Start: Immediate / near-term Open Roles 1. Computer Vision / Machine Learning Engineer What we’re looking for: Hands-on experience with object detection / visual recognition Exp...

I need a production-ready object detection model built, trained, and packaged so it runs smoothly on iOS and Android devices, in a modern web browser, and as a lightweight desktop application. The same model should power every platform to keep accuracy and behaviour consistent. You are free to choose the framework you are most comfortable with—TensorFlow, PyTorch, YOLOv8, Detectron2, or another proven library—as long as the final artefacts meet these requirements: • Mobile: optimised builds (e.g. TensorFlow Lite, Core ML, or ONNX) that hit realtime speeds on mid-range phones. • Web: WebAssembly/WebGL or implementation that loads in under three seconds on a standard connection. • Desktop: a small executable or Python app with GPU support when available and ...

I need expert assistance in integrating AI and ML into the execution and monitoring of an oil and gas capex project. Key focus areas: - Project scheduling optimization - Cost engineering Ideal Skills and Experience: - Background in oil and gas industry - Expertise in AI/ML applications - Strong project management skills - Experience in cost engineering and financial analysis Looking for someone who can provide innovative solutions to enhance efficiency and reduce costs.

I am just getting started with Python and would like a patient tutor who can guide me step-by-step, answer my questions as they come up, and help me practise writing clear, working code. The main areas I need to master are: • Basic syntax and data types • Control structures and functions • Libraries and modules Please structure the lessons so each concept is demonstrated with short examples, followed by hands-on exercises I can share back for review. I am happy to work in whichever environment you prefer—IDLE, VS Code, Jupyter Notebook—so long as I can replicate the workflow on my own machine. By the end of our time together I should be comfortable writing small scripts, understanding error messages, and knowing where to look next when I get stuck....

Project Overview This proof-of-concept will demonstrate a regulator-grade, fully secured VPC hosting a central authority and multiple financial-institution tenants, while automating supervision and compliance checks using native AWS services. Scope The environment will be logically segmented into public and private subnets for each participant. The central authority resides in its own network segment and can observe, query, and enforce policies across all other institutions without exposing sensitive resources publicly. Key Services AWS Lambda for event-driven oversight logic and scheduled compliance sweeps AWS RDS for the authoritative supervisory data store AWS S3 as the immutable audit and reporting repository Security & Compliance Networking, IAM, logging, encr...

I am building an intrusion-detection system that relies on entropy-based calculations applied over time windows to flag anomalous behaviour in user activity data. The goal is to detect subtle, previously unseen patterns rather than match against known signatures, so the core of the work is an efficient entropy engine that continuously ingests, time-stamps, and scores each event stream for deviation. My data source will be raw user-activity logs—login records, file interactions, command histories, and similar feeds collected from endpoints and servers. You may assume the logs arrive in near-real time (JSON or CSV) and contain at least a timestamp, user identifier, and event type. The system should: • Parse and normalise each record, maintaining a rolling history per user and fo...

I need a complete Python application that runs on a Raspberry Pi 5 and identifies plant-leaf diseases in real time from the Pi camera. The same core model must also accept still-image uploads. All three disease categories—Fungal, Bacterial and Viral—have to be recognised with reliable accuracy. The user interface will be a Django web app. Within that app I want three role levels—Admin, Standard user and Guest—each with appropriate permissions for running detections, reviewing results and managing data. Please structure the code so that REST endpoints are cleanly separated; this will let me expose the following Android-ready APIs later on: live-video analysis, image-file analysis and retrieval of disease-history logs. Deliverables • Python inference engine (...

Job Description: Senior Python Developer (AI/ML Project) We are hiring a Senior Python Developer to work on an AI-focused project. The ideal candidate has strong hands-on Python experience, is comfortable working within existing GitHub repositories, and has exposure to practical AI/ML integration and evaluation workflows. This role requires an experienced developer who can write high-quality code, actively review and mentor others through code reviews, and collaborate with cross-functional teams involved in AI model usage and improvement. Key Requirements • 3-14 years of hands-on Python development experience • Strong day-to-day experience with GitHub, including: Pull requests, code reviews, and team collaboration Version control in distributed teams. Hands-on CI/CD pipeline imp...

I need a clear, well-structured Python pipeline that ingests JPEG road images and their corresponding lane-segmentation masks (they sit in two separate folders sharing the same filenames) and returns one scalar per frame: a normalized lane-visibility score. The number is meant for relative comparison only, so internal units do not have to match any physical standard—just remain self-consistent frame to frame. The logic I have in mind revolves around four cues: • Brightness of the lane pixels themselves • Contrast between those pixels and adjacent pavement pixels • A distance weighting that values pixels closer to the camera more heavily than distant ones • A continuity penalty that reduces the score when the mask reveals breaks or flicker in the lane lin...

We are looking for a Senior AI/ML Engineer (LLM Training and Deployment). We are building Health Model, an on-prem "Robust Expert" LLM that generates healthcare interoperability code from natural language. The model should generate Mirth Connect (NextGen Connect) channel XML and JavaScript transformer code and support HL7 v2 and FHIR patterns. No PHI will be used. Only public docs, open-source samples, and synthetic messages. We need a strong developer to implement the end-to-end pipeline: dataset ingestion, synthetic instruction generation, LoRA fine-tuning, validation harness, and local deployment with an OpenAI-compatible API. Target compute is on-prem GPU hardware (DGX Spark class). Optional experiments can run on Google Vertex AI credits. [Required Skills] - LLM fine-tuni...

I'm seeking an AI expert to automate tasks in the finance sector. Key requirements include: - Developing AI solutions to streamline finance operations - Expertise in machine learning and data processing - Experience in the finance industry is a plus Ideal skills and experience: - Proven track record in AI automation - Strong background in finance - Ability to deliver efficient, scalable solutions Please share relevant experience in your application.

I need a small application that, once given a set of latitude-longitude boundaries for a desert sector, automatically pulls the most recent, freely-available satellite imagery every day, stores it locally, and then runs an object-detection model that flags cars and trucks only. The moment a vehicle silhouette is spotted, the program must return its exact coordinates so rescuers can be dispatched quickly. I’m flexible about the imagery source—NASA, ESA, Google Earth, or any other free feed is fine as long as it delivers cloud-free, high-resolution scenes on a daily cadence. You are welcome to mix sources when one is fresher than another. The detector has to work at desert scale, so please build it with an established computer-vision framework (e.g., TensorFlow, PyTorch, YOLO, ...

We' re actively seeking a special strategic individual and proven app developer to collaborate with Encyclomedia on the creation of a next-generation, AI-enhanced platform designed to transform how media planning, audience intelligence, and performance optimization are executed in today’s data-driven environment. This is not a typical build request. It is an opportunity to co-develop (as a potential partner) a flagship product positioned for market leadership, backed by Encyclomedia’s deep expertise in media strategy, analytics, and measurable ROI. With more than three decades of experience serving blue-chip brands, agencies, and media organizations, we bring validated market demand, industry relationships, and a clear commercialization pathway. The app will integrate ad...

I have a steady stream of plain-text machine logs arriving every hour. What I need is a dependable way to sift through each file, detect the anomalous patterns hiding in the noise, and produce a cleaned log (or at least clearly flagged lines) before the next batch rolls in. The raw files are straightforward TXT—no embedded markup or JSON structures—so the solution can focus entirely on pattern analysis rather than parsing exotic formats. Because the anomalies are behavioural rather than simply extreme numeric values, the detection logic must look for irregular sequences, unexpected combinations of fields, or sudden structural deviations. I’m happy with a Python‐based approach (pandas, scikit-learn, PyOD, or similar libraries come to mind), but I’m open to anothe...

I want to launch an Android-only application that showcases property listings and layers in practical AI assistance to make the experience smarter for both managers and renters. At its core the app must let a property manager add, edit, and remove listings (images, price, availability, basic details). The AI component should work behind the scenes—think auto-tagging amenities from photos, suggesting competitive pricing ranges, or surfacing the most relevant homes to a tenant based on their previous in-app behaviour. I’m open to the exact technique you use (TensorFlow Lite, ML Kit, embedded models, or a lightweight cloud call), so long as it stays responsive on typical mid-range Android devices. No third-party property-management or CRM integrations are required; the app should...

I want to embed a minimax-driven AI agent into my existing web application so it can take over day-to-day Development – Website Management duties. Rather than the usual rule-based scripts, the bot should evaluate alternative actions with a minimax search and choose the best move for the site at any given moment. Below are the specific website management areas the agent must cover: • Content updates • User interactions (comments, queries, basic moderation) • Performance monitoring (speed, uptime, error trends) • Routine website updates and patches You’ll design the decision logic, implement the agent (Python, Node, or another modern stack is fine), connect it to my CMS/backend APIs, and deploy it to production on the same hosting stack that serves...

A comprehensive literature review on recent developments in artificial intelligence is required for a science-focused research paper. The goal is to synthesise peer-reviewed work published roughly between 2020 – 2024, highlight prevailing trends, identify research gaps, and propose future directions. No experimental data collection or purely theoretical exposition is needed—this piece is strictly a literature review. I will supply a preliminary outline and a small set of key papers. You will expand the search using scholarly databases (Google Scholar, IEEE Xplore, ACM Digital Library, Scopus) and apply clear inclusion/exclusion criteria. Please organise the discussion around major AI sub-fields—such as deep learning architectures, reinforcement learning, ethical AI, and ...

I am looking to develop a decision-support algorithm that identifies and ranks the best production options across locations, varieties and time windows, based on a large set of variables. The model should evaluate each option using economic factors (costs, prices, margins), agronomic performance (yield, quality, timing reliability), logistics (distance to market, transit time, reliability), and risk (climate, water, regulatory, operational). The algorithm must first eliminate non-viable options using hard constraints (e.g. feasibility, minimum thresholds), and then score and rank the remaining options using a weighted, configurable logic that produces a single comparable score per option. The goal is not pure prediction, but a transparent and scalable optimization engine that supports bett...

I want an Android app that SIMULATES crash game behavior for PROBABILITY ANALYSIS purposes. Requirements: - Simulated crash rounds based on probability models - Streak & volatility analysis - Auto-generated signals (Low / Medium / Avoid) - Target outcome accuracy around 75%

I need AI trainer. The goal is to arrive at production-ready machine-learning models. You will receive full access to the data, a brief describing the business context behind each task. What matters most is a clear, well-documented workflow: data cleaning, feature engineering, model selection, hyper-parameter tuning, cross-validation, and benchmark reporting. I also need concise guidance notes so my in-house team can rerun or extend the work later. Deliverables • Trained model files saved with versioning and clear naming • A short report (PDF or Markdown) summarising methodology, metrics, and next-step recommendations I’ll be available for quick feedback cycles and can spin up extra compute if needed. Let’s turn this diverse data into smart, reliable insights.

I’m wrapping up my final-year project and need an AI module that can generate truly personalized workout plans. The focus is narrow and clear: every plan must be driven by the user’s stated fitness goal of “improving overall fitness.” I’m not looking for real-time form feedback or progress analytics at this stage—just rock-solid plan generation that feels tailored, practical, and evidence-based. Here’s the flow I have in mind. A user enters basic profile data and selects “Improve overall fitness” as a goal. Your algorithm interprets that goal, selects appropriate training modalities, adjusts intensity and volume to suit beginner through intermediate levels, and outputs a structured weekly routine (exercises, sets, reps, rest, and optio...

Project Title: Custom Offline AI Educational Chatbot (Curriculum-Based RAG) Project Overview I am looking for a developer to create a customized AI chatbot designed for students. The primary goal is to provide a "tutor in a box" that contains a vast knowledge base of specific educational curricula (textbooks, PDFs, and related materials). Critical Requirement: The system must function entirely offline after the initial setup, allowing students in areas with no internet access to interact with the AI and receive accurate answers based on the uploaded curriculum. Key Features & Requirements * Offline Functionality: The chatbot must run on local hardware (e.g., a laptop, Raspberry Pi, or a high-end tablet) without needing an internet connection. * Custom Knowledge Base (RAG): ...

I want to create a custom open AI like Claude, ChatGPT,Gemini etc so I can use for my internal use where I just need to upload customer documents and AI will give full 6-7 pages colurful report with our company logo with below mentioned details Loan eligibilty Details in Tabular Form in Tabular Form documents form Filling Details queries based on Past queried data

I want to create a custom open AI like Claude, ChatGPT,Gemini etc so I can use for my internal use where I just need to upload customer documents and AI will give full 6-7 pages colurful report with our company logo with below mentioned details Loan eligibilty Details in Tabular Form in Tabular Form documents form Filling Details queries based on Past queried data

The file in question is a single screenshot whose text is now so heavily blurred that it is impossible to read. My only goal is to recover that text with enough clarity that every character can be copied or transcribed without guesswork. Because the blur is severe, I expect advanced de-blurring techniques—whether that means frequency-domain restoration in Photoshop, AI-powered tools such as Topaz Sharpen AI/Gigapixel, or custom Python/OpenCV scripting. Feel free to combine multiple passes or layer-based masking if that gives the best result; I just need the cleanest, most legible outcome you can achieve. Deliverable: a high-resolution image (PNG or TIFF) where the text is crisp and readable. If the restored file must remain at its original dimensions, please provide a second upsc...

Project Title: AI-Based "Digital Arrest" Scam Detection System (MVP) Project Overview: I am looking for an AI/ML developer to build a functional prototype of a security system designed to detect "Digital Arrest" scams. The system needs to analyze video and audio inputs in real-time (or near real-time) to identify deepfakes, threatening language, and fake law enforcement visuals. Key Features Required (The Scope): I need a desktop-based prototype (Python/Streamlit or similar) that can process a sample video feed or live webcam input and perform the following: * Audio Threat Detection (NLP): * Transcribe audio in real-time (using OpenAI Whisper or Google Speech-to-Text). * Detect specific scam keywords/intents (e.g., "money laundering," "CBI," &...

I want to build a voice-only AI companion app for India. The experience should feel like a phone call with a friend. Core requirements: Full voice conversation (no typing) Real-time speech-to-speech Emotional support + life/business guidance Basic medical information (no diagnosis, no prescription) Multi-language support (start with Telugu + English) IMPORTANT: I am not technical I want a working demo/prototype first Android app preferred Please apply ONLY if: You have already built voice AI apps You can show a demo / GitHub / video You understand low-latency voice conversation Budget: To be discussed after demo.

Responsible for initiating the implementation and application of Data Science strategies to enhance company results. Some of the projects developed: - Time Card Information Extraction Automation via OCR Developed an OCR pipeline to automatically extract and process information from time cards and integrate it into the company's system; Reduced processing time and minimized manual errors in employee time management; - Intelligent Chatbot for Internal Support Modeled an intelligent chatbot trained on the company manual, utilizing LLMs with optimized prompts, Transformer-based architecture via Hugging Face, RAG (Retrieval-Augmented Generation) approach, Redis for context caching, and Gunicorn as the application server for production; - Inventory Prediction and Purchasing Optimization...

The opportunity At Smartmoney Wealth Management, we’re building technology to make money clear, visible, and actionable in a world where finances are increasingly digital and fragmented. Alongside our core advice business, we have already commenced building a new AI-driven financial intelligence platform. The next phase is execution — getting it live, reliable, and delivering real outcomes. We’re looking for an experienced AI Solutions Engineer to help finish, deploy, and scale this platform, while also applying AI to improve internal processes across the Smartmoney business. The role This is a hands-on execution role. You will: Take an already-started AI platform and get it live and working correctly Build, refine, and deploy AI systems using real financial and pro...

use the tools API's and SDK's on to build an AI agent

I have a large collection of raw audio recordings and need an expert who can turn them into a high-performing voice model inside Amazon SageMaker. Your job starts with designing an efficient preprocessing pipeline—cleaning, segmenting, and augmenting the audio so that the data is ready for distributed training on SageMaker. Once the data is prepared, I’d like you to select or build a state-of-the-art architecture, train it end-to-end, and fine-tune until we hit 90-95 % word-level accuracy on my validation set. Please incorporate best-practice techniques such as mixed-precision training, hyper-parameter tuning jobs, and automatic model versioning so we can reproduce results later. Finally, the trained model must be packaged as a SageMaker endpoint that plugs directly into ...

I'm seeking an experienced fractional CTO to guide our machine learning initiatives. We have a ready-to-use dataset and need assistance with: - Model Development: Designing and building ML models. - Data Preprocessing: Preparing data for optimal model training. - Performance Tuning: Enhancing model accuracy and efficiency. Ideal Skills & Experience: - Expertise in Machine Learning - Proven track record in model development - Strong data preprocessing skills - Experience in performance tuning of ML models - Leadership experience in tech projects Looking for someone to ensure our project is on the right path and achieves its goals efficiently.

I’m expanding a cloud-native platform and need a hands-on Java specialist who can comfortably navigate our AWS stack while lending light support to the React front-end and a couple of Python utilities. Core work will revolve around building and optimising Java microservices that run in Lambda, interact with API Gateway, DynamoDB, and S3, and expose clean, well-tested endpoints to the React client. Alongside the usual feature work, we’re beginning to weave in basic AI functionality—simple model inference, small-scale data pipelines, and a bit of NLP where it makes sense—so any prior experience wiring up popular ML frameworks or hosted AI APIs will put you ahead of the curve. If you decide to apply, point me to past projects that show: • Solid Java engineering ...

I want to automate my article- and blog-writing workflow with a machine-learning script that takes a short brief and instantly returns a well-structured prompt ready for a large language model. The end goal is to speed up English-language content creation without sacrificing coherence, tone, or SEO friendliness. Here’s what I need delivered: • A reproducible ML-based script (Python preferred, but I’m open to other languages) that analyses the brief, detects key topics and desired style, and then constructs a polished prompt. • Clear instructions on how to run it locally – required libraries, setup steps, and an example input/output run. • A simple way for me to fine-tune or expand the model later, should I decide to add Spanish or French output in th...

Do not write a response that is autogenerated - I want to know more about your experiences with LLM. I want to see Karpathy’s nanochat fine-tuned on a freely available medical corpus, preferably the MedQuAD set I linked, so that the resulting model can answer real medical inquiries with coherence and factual accuracy. This is a true proof-of-concept, yet the end result must be usable: after you finish I should be able to spin up the model locally, type a health-related question, and receive a sensible response in real time. Ths would be trained on a cloud instance with proper gpu setup (think runpods, lambda) Your task covers the dataset preparation, tokenisation, training, evaluation, and a tiny CLI or notebook demo—while keeping everything strictly open-source. If you belie...

I'm looking for an experienced Python teacher specializing in advanced programming and machine learning. Essential requirements: - Expertise in Python, especially in machine learning - Ability to explain complex concepts clearly - Experience with popular ML frameworks (e.g., TensorFlow, PyTorch) - Flexible scheduling to accommodate my learning pace If you have a strong background in these areas, please apply!

I will share a raw table of laboratory-measured water-quality parameters (pH, turbidity, dissolved oxygen, heavy-metal readings and several others). Using those records I want to end up with a supervised, decision-tree-based solution—specifically a Gradient Boosting model—that predicts overall water quality with the highest possible accuracy. Here is what I need from you: • Inspect and clean the dataset, handling outliers, missing values and inconsistent units. • Explore feature importance and, where helpful, create additional engineered features. • Train and fine-tune a Gradient Boosting decision-tree model (scikit-learn, XGBoost or LightGBM are all acceptable) with solid cross-validation. • Compare its performance against at least one other tree-ba...

My Python-based automation bot just lost its first head-to-head race against a competitor. I noticed a clear lag, even though I’m already steering clear of packet manipulation tricks and want to keep it that way. Execution speed is my top priority, and initial profiling points to the data-processing routines—mainly the window-reading layer that gathers live information before each decision cycle. Here’s what I need: • A careful code review focused on the sections handling window reads and subsequent parsing. • Concrete refactoring or micro-optimisations that shave milliseconds without compromising detection accuracy. You’re welcome to propose techniques like caching, vectorised operations, Numba/Cython acceleration, asyncio or threaded batching—a...

We are looking for a Vertex AI Search Expert to implements enterprise AI search solution using Google’s Gemini models and search infrastructure for our platform (combination of social media and e-commerce). *****Send your resume and live links of projects where you integrated Vertex AI Search in order to be considered! Key Responsibilities - Design search architectures using Vertex AI Search for structured and unstructured data. - Build and optimize Retrieval-Augmented Generation (RAG) workflows to ground LLM responses in enterprise data, reducing hallucinations. - Develop data pipelines using Dataflow, BigQuery, and Cloud Storage to feed data into search indices. - Fine-tune ranking, indexing, and relevance using features like Vector Search (Matching Engine), embeddings, and sema...

I am looking for a senior Azure & AI engineer to build a fully functional cloud-based data ingestion and AI analysis platform on Microsoft Azure. The platform must work end-to-end with real data and real integrations and be demonstrable live. Functionality includes project creation, cloning, renaming, deletion, SharePoint ingestion via Microsoft Graph using project-specific folders, API-based ingestion from a survey platform (e.g. SurveyMonkey with dummy data), a collaboration platform (e.g. Miro board), at least one structured/CRM-style API, and manual file uploads. AI processing must use Azure OpenAI and AutoML-style approaches with automatic data-type detection and automatic model selection, fully controlled by prompts (no hardcoded logic). The UI must allow viewing, selecting (sing...

I need a secure, 3rd party verification of AI performance analytics by a qualified technician for a private venture. All is prepared and ready for the verification. Currently, looking for an hourly rate since it’s verification. Once this step is verified and complete the opportunity may proceed if the verification technician is interested in providing further assistance. TBD.

I am rolling out a trio of inter-linked prototypes that tackle pressing urban and environmental challenges while showcasing cutting-edge AI, blockchain, and IoT engineering. First, the AI-driven Smart Traffic System must ingest multi-sensor feeds, apply real-time reinforcement learning, and demonstrate measurable gains in a simulation such as SUMO—specifically a double-digit reduction in congestion and wait times across a 20-intersection grid. Second, the Blockchain Voting System needs an end-to-end verifiable ballot flow. I expect audited Solidity or Substrate contracts, mobile-friendly front-end, zero-knowledge vote secrecy, and a testnet demo with at least fifty dummy voters that passes a public audit script. Third, the Solar-Powered Smart Watering System will run on a low-powe...

At I am expanding an internal project that explores fresh ideas in machine learning and need an intern who can jump straight into the research cycle—formulating hypotheses, building quick prototypes, running experiments, and summarising insights for the team. What you will do • Survey recent ML literature that aligns with our roadmap • Design and execute experiments to test new model architectures or training tricks • Record results, visualise them clearly, and explain the “why” behind the numbers • Iterate on your findings until we have a result worth integrating into production-grade code What you should bring Your application only needs to highlight relevant experience, but that experience must show strong analytical and problem-solving...

I'm seeking an AI/ML expert to develop a smart health ID system with predictive analysis capabilities for brain cancer risk assessment. Key Requirements: - Predictive Analysis: Focus on risk assessment. - Data Source: Analyze medical imaging scans. Ideal Skills & Experience: - Expertise in AI/ML, particularly in predictive analytics. - Experience with medical imaging data. - Background in healthcare technology is a plus. - Strong programming skills (Python, TensorFlow, etc.). - Ability to deliver secure and compliant health data solutions. Please provide relevant work samples and a detailed approach.