Машинне навчання (ML) Jobs

Necesito estructurar un proyecto de emprendimiento pensado para estudiantes de secundaria que combine un servicio y un catálogo de productos, ambos 100 % digitales. La idea debe ser lo bastante sencilla para implementarse en el aula, pero lo bastante sólida para mostrar cómo se vinculan creatividad, viabilidad económica y tecnología. Lo que espero recibir es un documento guía que incluya: • Concepto del negocio y propuesta de valor. • Descripción clara del servicio digital principal (ej.: tutorías en línea, micro-cursos, suscripciones a contenido). • Listado de productos digitales complementarios (plantillas, e-books, recursos descargables). • Público objetivo, canales de venta y estrategia de ...

AI & Full-Stack Tech Client Acquisition Partner Needed (Commission-Based) I am an experienced Full-Stack AI & Software Engineer with strong hands-on expertise in building production-ready systems, including: AI / LLM Development (OpenAI, Gemini, LangChain, RAG, AI Agents) Machine Learning & Data Science (Python, Pandas, NumPy, Scikit-learn) Backend Development (Python, Node.js, REST APIs) MERN Stack (MongoDB, Express, React, Node.js) DevOps & Deployment (Docker, CI/CD, Cloud hosting) Automation & AI Chatbots (WhatsApp, Web, CRM integrations) I deliver scalable, high-quality solutions with clear communication and on-time execution. Role: Client Acquisition Partner I’m looking for a motivated, reliable partner who can bring genuine AI / software development proj...

Looking for AI Expert and Engineer who has good experience in using different AI tools available like chatgpt claude etc Must be able to create AI agent and Automation Also expert in AI Content creation and Marketing

I'm seeking an experienced AI developer to create a computer vision model focused on detecting people. The model will need to function effectively in both indoor and outdoor environments. Key Requirements: - Primary function: Object detection with a focus on people - Adaptable to both indoor and outdoor settings - High accuracy and reliability Ideal Skills and Experience: - Expertise in AI and machine learning - Strong background in computer vision, particularly in object detection - Experience with datasets and training models for varied environments - Proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch Please provide examples of similar projects you've completed.

I need a senior-level specialist to harvest product data from several e-commerce sites and deliver it in a single, well-structured CSV file. The task demands production-ready techniques—think Scrapy spiders hardened with rotating proxies, Selenium or Playwright for dynamic content, and solid anti-bot countermeasures. The information I’m after is very specific: product names, prices, pictures, and SKU. Nothing less, nothing more. Your solution must run reliably at scale, cope with frequent layout changes, and leave no trace that could trigger blocks. Python is the preferred stack, but if you have a proven alternative that meets the same bar, I’m open to hearing it. To be considered, include in your proposal: • At least one example of a comparable e-commerce scrapi...

I want to enrich my online shoe store with an AI-powered recommendation engine that studies each shopper’s purchase history and instantly serves up the pairs they are most likely to buy next. The model can draw on three data streams—user account data, my e-commerce platform records, and any third-party customer datasets I supply—to build a unified profile and surface truly personal suggestions. Here is what the finished job looks like from my side: • A trained model (Python preferred, TensorFlow or PyTorch are both fine) that ingests the above data sources, updates itself regularly, and outputs ranked product recommendations in real time. • An API or embeddable snippet I can drop into the product and home pages to display “You might also like” sh...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

We have a platform that requires user to do a face capture, means user will take a live picture of themselves The goal is to ensure that only real users use our system. Let me know if you have done anything like this or capable

## Full Project Plan – Sports Prediction Mobile App ### Product Goal Develop a data-driven mobile application that provides real-time sports match predictions using advanced statistical models and AI. The app will deliver professional insights, personalized notifications, and operate under a VIP subscription model. --- ## Supported Sports (MVP) - Football (Soccer) - Basketball --- ## Real-Time Sports Data The application will integrate with a third-party sports data API (to be selected by the developer) in order to display: - Live match scores - Team lineups before games - Key match events such as goals, fouls, substitutions, and other major incidents - Live match statistics --- ## Prediction Model The prediction system will be based on a combination of...

I want a production-ready Python algorithm that can scan the Nifty 50 throughout the session, weigh profit opportunities against downside risk, and fire off intraday orders several times a day when the reward-to-risk profile is attractive. Core logic • Fuse three data streams in real time: historical price series, live technical-indicator feeds that you compute on the fly, and sentiment or headline signals drawn from the latest market news. • Use that blended input to generate probabilistic forecasts, then translate those forecasts into position sizing that keeps risk in check while still pursuing upside. • The system must be able to trigger, modify, and exit trades automatically during market hours—no end-of-day batching. I code in Python myself, so please kee...

Seeking an experienced full-stack/ML developer to build a secure, cloud-based web platform for analyzing anonymized dental X-rays. The tool enables upload of DICOM files, automatic anonymization (strip all metadata/identifiers), AI-driven detection & annotation of pathologies (caries, periodontal disease, bone loss, cysts, etc.), visual overlays, confidence scores, and report generation—all with strict patient privacy, no storage of originals, and human oversight required. Key Requirements: • Clean React/ frontend with drag-and-drop upload, DICOM viewer (e.g., ), annotation overlays & heatmaps. • Python backend (FastAPI preferred) + secure auth, encrypted file handling, and cloud storage (AWS S3/GCP). • PyTorch/TensorFlow ML models (fine-tune YOLO/U-Net/M...

I’m putting together a series of college-level workshops and need an expert who can both design and deliver engaging, lab-style sessions on AI, NLP, and machine learning. The audience will be under-grad and post-grad students who already code in Python but have limited exposure to real-world AI pipelines. Scope The program should span three core tracks—an approachable “Introduction to AI & ML,” a set of “Hands-on NLP Projects” that let students build something tangible, and a closing block on “Advanced Machine Learning Techniques” that shows them what’s possible beyond the basics. Because the colleges have explicitly asked for hands-on labs rather than slide-only lectures, your material needs to revolve around live coding, intera...

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Hi. I need personal AI for coding, I need complete website for login , signup - I need saas admin dashboard, user dashboard - I need we can tell personal ai to make any website through prompt and it make complete and each database table he make unique table for each project with : ai generate roadmap, analyse project, build architect memory, load schema, sync files - so if we ask related to this project he can reply accordingly and make changes etc in it - I need option to upload our any existing code of vb6, delphi, php, or any language , this ai will analyse it and make the changes and remove the error and make it 1 click installation. - if we upload and project he can able to make it 1 click installation , may be it for website or for desktop app, he can make it for installation setup. ...

We are looking for a freelance marketing / lead generation professional who can bring IT projects and client requirements for our company. Our service offerings include AI/ML, .NET, Java, and Python development, along with digital marketing services such as SEO and Meta (Facebook/Instagram) Ads. We work across domains including logistics, e-commerce, retail, and mobile & web applications. You will not be responsible for development or execution. We already have in-house developers and a digital marketing team. Your role is to identify, approach, and convert clients/projects and hand them over to us. Compensation can be commission-based, per-project, or retainer + commission, depending on results. If you have proven experience in IT project marketing, B2B lead generation, or client...

I need a robust workflow that taps directly into the Sentinel satellite constellation to track current-day forest loss across tropical regions. The end goal is near-real-time monitoring: a clear indication, week by week, of where fresh clearing is happening so I can flag hotspots and act quickly. Scope of work • Acquire and pre-process the latest Sentinel imagery for my specified AOIs in the tropics (cloud masking, atmospheric correction, seamless mosaicking). • Run an automated change-detection routine that distinguishes new clear-cuts from seasonal or spectral noise. • Output intuitive products—shapefiles, GeoTIFFs, and a simple dashboard or web map—that visualise forest-loss polygons with dates, area statistics, and confidence scores. Acceptance cr...

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I want to build a Windows-only application that watches the live screen, detects people—including stylised in-game characters—in real time, and immediately drives a game controller so the crosshair locks onto and tracks that target as it moves. The workflow I picture is straightforward: the program captures frames, an AI model spots the person, and a virtual stick signal (XInput, vJoy or a comparable driver) nudges the aim every frame so it stays centred. Smoothness and speed are critical. On a 1080p feed I’m aiming for roughly 60 fps with no more than 40–50 ms end-to-end latency, so techniques such as YOLOv8, TensorRT or a lightweight custom network combined with OpenCV screen capture should fit. You’re free to choose Python, C++, or another language as long...

More details: What type of fashion tech MVP are you looking to build? virtual try on with fit prediction What key features do you want in your virtual try-on system? Size and fit prediction What type of size and fit prediction functionality do you need? Measurement-based predictions, User profile customization

CLOUD-NATIVE SUPTECH PLATFORM Developer Implementation Master Specification (PoC Build Pack) 1. PURPOSE OF THIS DOCUMENT This document provides the complete technical build specification for developers implementing the Cloud-Native Regulatory System (CNRS) — a supervisory technology platform for central bank supervision, risk analytics, compliance monitoring, early-warning systems, fraud detection, and stress testing. The platform is cloud-native (AWS), modular, AI-enabled, and supports regulatory analytics aligned with Basel III, AML/CFT, and Risk-Based Supervision frameworks. 2. SYSTEM OBJECTIVES The system must: Ingest regulatory data from financial institutions securely Validate, store, and process supervisory datasets Compute prudential ratios and compliance rules Detect fraud...

I already have a working object-detection pipeline written in Python, and I now need that same logic moved into a cleaner, better-structured Python codebase that’s easy to maintain and integrate into a larger application. Think of it as a conversion/refactor: exact same model, exact same results, but with modern syntax, clear separation of concerns, and thorough inline comments. You’ll start from my original scripts and checkpoints, preserve every bit of accuracy, and hand back a fully functioning module (including a simple demo script) that can be installed with pip-installable requirements. Feel free to streamline library calls—TensorFlow, PyTorch, OpenCV, or whatever is currently in place—so long as the final inference output matches the reference I provide. De...

I’m in the development phase of an Azure Machine Learning project and need a seasoned practitioner to mentor me through model training and evaluation. The workspace is set up and the data is in place; what I’m looking for now is practical, hands-on coaching that will leave me confident about every line of code I run. Using Python and the Azure ML SDK, you’ll help me: • Refine and execute training scripts, choose the right compute targets, and organise experiments. • Build an evaluation workflow that logs metrics, registers the best model, and makes results easy to visualise and share. We’ll work through shared sessions(need to check if this can be shared) and brief code reviews, with you explaining the reasoning behind each step so I can replicate the pr...

Task Summary: Validation for LBP and SVM methods. Created a manual calculation simulation that proves my system's workflow, from image input to classification decision. The system uses the following methods: Feature Extraction: Local Binary Pattern (LBP). Classification: Pre-trained Support Vector Machine (SVM). IMPORTANT: You will NOT be asked to retrain the model or recode it. Your task is to analyze the mathematics behind the model's predictions for just one data sample so that it can be written in the report. Data & Files I Will Provide: -Original Video File (.mp4): I will provide the video. -Validation Matrix: For manual calculations in Excel, you can simply sample a small area (5x5) of the face to demonstrate the LBP (Thresholding & Binarization) formula. There is...

I have a small batch of images—fewer than one-hundred—that need clean, consistent object-detection labelling. For each image you will draw tight, non-overlapping bounding boxes around every instance of the target classes I will supply once we start. Accuracy matters more than speed; missed objects or sloppy boxes will be rejected. Preferred workflow is any modern tool that can export to COCO JSON or Pascal-VOC XML, as these formats plug straight into my training pipeline. If you normally use LabelImg, CVAT, Supervisely, or similar, that’s perfect. Deliverables • Annotated dataset in COCO JSON or Pascal-VOC XML (your choice, just stay consistent). • A quick text report summarising class counts and any edge cases flagged during labelling. I will run a...

I already have a working Python script that identifies stripe-like patterns in still images, but it needs to move from “proof-of-concept” to a polished, deployable module. The current model does a reasonable job on simple samples, yet its accuracy drops with noisy backgrounds, it only understands a handful of stripe geometries, and it processes large batches slower than I’d like. The brief is straightforward: • Improve accuracy: fine-tune the existing algorithm—or replace it—so it handles challenging lighting and mixed-texture scenes without a spike in false positives. • Add more pattern types: extend recognition beyond the basic horizontal/vertical stripes to oblique, curved, or irregular banding the current code ignores. • Optimize perfor...

I have safety sector time-series dataset that combines three synchronized streams: sensor imagery, textual maintenance logs, and high-frequency numeric readings. The objective is to forecast future values—not merely detect anomalies—so grid operators can anticipate demand, equipment stress, and renewable supply fluctuations. Because this is a research-level effort, I’m not looking for an off-the-shelf CNN, RNN, or simple transformer stack. I need a genuinely novel architecture (or a rigorously justified adaptation of cutting-edge multimodal papers) that fuses image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clea...

I have a kaggle dataset containing colored images and thermal image .. do feature extraction and then combine them and the do feature extraction on it

I have safety sector time-series dataset that combines three synchronized streams: sensor imagery, textual maintenance logs, and high-frequency numeric readings. The objective is to forecast future values—not merely detect anomalies—so grid operators can anticipate demand, equipment stress, and renewable supply fluctuations. Because this is a research-level effort, I’m not looking for an off-the-shelf CNN, RNN, or simple transformer stack. I need a genuinely novel architecture (or a rigorously justified adaptation of cutting-edge multimodal papers) that fuses image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clea...

Lead AI / Fullstack Engineer — Project "AZIZA" (Voice-to-Voice AI) ​Project Name: AZIZA Format: Project-based / Remote (with access to local GPU clusters) Tech Stack: PersonaPlex (Moshi-based architecture), PyTorch, TensorRT-LLM, FastAPI, WebRTC, Telegram Mini App (TMA). Hardware Location: Uzbekistan & Turkey clusters powered by NVIDIA L40S ​Project Overview ​AZIZA is an innovative multimodal "Speech-to-Speech" (S2S) ecosystem designed to simulate natural human interaction. We are building an AI assistant that seamlessly transitions between roles: an expert tutor (Chemistry, History, Biology), an empathetic companion, and a simultaneous translator. By processing audio tokens directly, the system achieves unprecedented interaction speeds. ​Current Status: The ...

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 am embarking on a full-stack build of a humanoid companion robot whose number-one mission is caring for an infant from birth through age five. Beyond the usual chore-support and graceful household navigation, the robot must excel at three core caregiving abilities: • Feeding – from bottle to basic solids, with portion control, temperature checks, and spill detection. • Diaper changing – autonomous removal, cleaning, and secure re-diapering, tracked in a hygiene log. • Health monitoring – continuous vitals, posture, and environmental safety checks, with instant mobile alerts. Rich, natural interaction is essential. The robot should talk and sing lullabies, entertain with simple games, and read stories or show age-appropriate educational content...

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...

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...

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 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...