Machine Learning (ML) Jobs

I need an end-to-end AI solution that lets a runway-patrol drone spot even the tiniest foreign object debris (FOD) in real time. The airframe already carries LiDAR, an infrared sensor and an electro-optical (EO) camera; what is missing is the software that fuses those feeds, classifies debris and reports exact GPS position so ground crews can clear it fast. Scope of detection • Metallic pieces, plastic fragments and loose stones—down to roughly 1 mm in size. • Operation must be reliable in both daylight and nighttime conditions. • Accuracy target is set to a high threshold; false positives have to stay low while recall stays near perfect. Key tasks 1. Build or adapt a multi-sensor fusion pipeline that consumes LiDAR point clouds, IR imagery and EO frames. 2...

Overview I'm looking for a freelancer (or small team) to help produce a whitepaper and supporting executive presentation on building an AI-powered digital twin / simulation system for a manufacturing plant, using NVIDIA Omniverse as the platform foundation. The deliverable should demonstrate a ground-up system architecture — from sensor/data ingestion through simulation, AI modeling, and business outcomes — presented in a way that is credible to both technical and executive audiences. Problem framing: the operational challenges digital twins solve in manufacturing (downtime, quality escapes, throughput, changeover, predictive maintenance) Reference architecture: data ingestion → 3D/physical simulation layer → AI/ML models → decision and feedback loop Techno...

Need from India. The immediate need is for professionals who can confidently handle Programming & Coding as well as Data Science, AI, and Analytics. Sessions happen on-site at our partner colleges and corporate venues; each engagement is blocked and paid on a per-day basis, Travel, Accommodation and Food TFA is free free free What I’m looking for • A solid command of at least one major programming stack (Python preferred) and the core data-science workflow—from data wrangling through to basic model deployment. • Availability to travel within South India for short training stints. To apply, attach or link to past work that shows your technical depth and your ability to explain concepts clearly—recorded sessions, slide decks, sample code repositorie...

Need trading algo for stock options in indian markets

I am building a point-of-care assistant that runs entirely on the practitioner’s own hardware. When a GP types in a patient’s history, symptoms, lab values or imaging notes, the agent must: • generate a differential that accurately diagnoses medical conditions, • recommend an evidence-based treatment plan, and • cite the latest peer-reviewed information so the doctor can quickly verify each recommendation. Scope of conditions The knowledge base has to span common illnesses, chronic diseases and rarer pathologies alike, so the logic that drives the model cannot be trimmed down to a few high-frequency complaints. I expect the same reasoning depth whether the query is seasonal rhinitis, Type 2 diabetes or a paraneoplastic syndrome. Keeping knowledge current...

We're looking for an experienced LangChain/LangGraph developer to improve our existing multi-agent AI system that powers a customer-communication SaaS platform (WhatsApp, Instagram, web channels) for SMEs. The system is already in production — built on LangGraph with Gemini Flash, including a RAG pipeline, tool binding, and structured output — but we're hitting issues and want professional support in these areas: Inconsistencies/bugs in multi-agent orchestration flows Memory management issues (conversation history, context propagation, session-based state) Improving tool binding and deterministic RAG retrieval nodes Hallucination prevention, especially in critical confirmation flows General architecture review and best-practice recommendations Requirements: Production...

Senior Full Stack Developer (US Only) – Long-Term Collaboration Budget: $700 - $900 (Initial Milestone) We're looking for an experienced US-based Full Stack Developer to join us on a long-term project with consistent work. This is not a one-time task. We're looking for someone who communicates well, enjoys solving real-world problems, and wants to build a long-term working relationship. What You'll Work On Develop and maintain modern web applications. Build responsive, user-friendly frontends. Design and implement scalable backend APIs. Integrate third-party services and APIs. Improve application performance and reliability. Collaborate on new features and technical decisions. Preferred Skills JavaScript / TypeScript React, , Vue, or Angular Node.js (Express or Nes...

Location requirement — please read first: Open only to independent contractors based in Australia, performing all work in Australia, who hold (or can obtain) a valid ABN. Applications from outside Australia can't be considered. Overview: An early-stage, Australian startup needs an experienced AI/ML full-stack engineer to build the foundation and secure infrastructure for a new consumer web application. This is a single, fixed-price milestone — what matters is meeting the milestone's acceptance criteria, not fixed hours. This is Milestone 1 of a larger build; later milestones involve an orchestrated multi-agent AI system. Continuation past this milestone is possible but not guaranteed — it depends on successful, on-spec delivery of this one. Full product deta...

Our new program introduces teenagers to Machine Learning through a blend of online and in-person experiences across Australia. The curriculum framework is drafted; now I need a facilitator who can: • Record concise Python-based lessons (screen-share with voice-over, showing Jupyter Notebooks, scikit-learn, and simple TensorFlow examples). • Host regular live Q&A sessions on Zoom so students can extend the pre-recorded material, troubleshoot code, and discuss real-world ML applications. • Run hands-on workshops at selected campuses (interactive, project-driven, laptops open, small-group support). Safety, engagement, and clear learning outcomes are critical. Key points to keep in mind – Audience: 13-17 year olds with mixed coding backgrounds. – Styl...

I’m building a prototype that relies on Hugging Face’s models, and I need a clear, recorded walkthrough that shows—step by step—how to take a pre-trained model and put it into production. The focus is deployment, not training, so please cover the process from selecting a model on the Hub through exposing it as an accessible API via Hugging Face Inference Endpoints or Spaces. Because I learn best by doing, the core of the tutorial should be an interactive demo: a live notebook or lightweight web app that I can spin up, tweak, and extend. As you record the session, narrate what you’re doing and why—showing the essential commands, environment setup, and any common pitfalls. By the end, I should be able to hit an endpoint from a simple front-end snippet a...

We are seeking a team to oversee the development and refinement of an Intelligent Wine Platform that unifies B2B wholesale procurement with an advanced, personalised consumer storefront. In this role, you will architect an operational data flow that ingests smart manifests and integrates data alignment from external market APIs / scraping, alongside text-sentiment NLP feedback overlays. You will own the core algorithmic matching logic—utilising a normalizsd Euclidean distance formula to power a vector database of precise user profiles—which drives features like dynamic visual match percentages, "Palate Stretch" discovery overrides, and automated CRM marketing segmentations. Additionally, you will be responsible for technical execution across two primary zones: an inte...

I need help configuring a Hikrobot camera using python whenever it flags a vehicle incorrectly, drives an external alarm output. In practice that means: • Monitoring the confidence/result coming from the camera (SDK, ONVIF events or RTSP overlay—whatever is most reliable) and deciding when a detection should be considered “wrong”. • As soon as a wrong detection is confirmed, toggling the camera’s I/O port (or a small companion relay module if the onboard I/O proves too limited) to fire the alarm signal. A concise set-up guide and any scripts, firmware tweaks or parameter files you create must be supplied so I can replicate the installation on additional units. Please include short test footage or logs proving that the alarm is triggered only on false...

I’m moving the Dynamo initiative at Handshake AI into its next phase and I need a seasoned Python developer to write production-ready machine-learning algorithms that slot straight into our existing codebase. The heavy lifting is pure code development—no data wrangling or system plumbing—so I expect clean, well-documented Python modules that import neatly and respect our current project structure. You’ll work against the latest commit in our private Git repo, build out the ML logic we’ve specced (classification and ranking models to start), and deliver passing unit tests so the CI pipeline stays green. Feel free to lean on scikit-learn, PyTorch, or TensorFlow if they keep things elegant and maintainable; the end goal is fast, accurate models that can be calle...

I have a mobile robot prototype and I need an AI agent that will let it perceive its surroundings, decide on actions, and execute them safely in real time. Because the hardware stack is still flexible, I am open to ROS, a custom embedded setup, or a commercial SDK—whatever you feel will achieve the best balance between performance and maintainability. At a minimum the agent must: • Fuse camera and sensor data to detect obstacles and points of interest. • Plan a collision-free path and update it on the fly. • Expose a clean API so I can add higher-level skills later (object pickup, voice interaction, etc.). Please structure the code in well-documented modules, supply build instructions, and include a short demo video that shows the robot handling a simple naviga...

Project Details Project Title: Wanted: STEM Experts for 20 Original Advanced Problems (Robotics, CV, RL, STEM) Project Description: We are seeking highly skilled researchers, algorithm engineers, and mathematicians to author 20 highly complex, completely original STEM problems. These problems will be used to evaluate the reasoning capabilities of frontier AI models, so they need to be genuinely difficult. The Deliverables (Format depends on your domain): You will deliver 20 original problem tasks. The required format varies based on the subject: For General STEM (Mathematics, Physics): Deliver a clean LaTeX file containing one original, self-contained problem, the uniquely determined correct final answer, and a step-by-step rigorous proof/worked solution. For Computer Science Domains (...

تحدي تطوير منصة "علمك" التعليمية بالذكاء الاصطناعي ​نبحث عن مطور أو فريق تقني متميز قادر على تحويل أفضل الحلول مفتوحة المصدر إلى منصة تعليمية SaaS متكاملة ومستقلة باسم "علمك". هذا ليس طلب عرض سعر أو مجرد تقديم أفكار نظرية، بل هو تحدٍ عملي خالص. من يرى في نفسه الكفاءة والقدرة على تقديم حل قوي، يمكنه البدء في تنفيذ رؤيته التقنية فوراً. سيتم تقييم النتائج الفعلية واختيار أفضل تنفيذ للتعاون معه بشكل مدفوع على تطوير المشروع. فكرة المشروع بدلاً من بناء نظام كامل من الصفر، نريد الاستفادة من أفضل المشاريع مفتوحة المصدر الموجودة عالمياً، ثم تخصيصها ودمجها وتطويرها وتحويلها إلى منتج تجاري جاهز ومتكامل. المطلوب: - رابط Demo أو نسخة قابلة للتجربة. - ذكر المشروع مفتوح المصدر المستخدم. - التعديلات والإضافات التي تم تنفيذها. - شرح مختصر للبنية التقنية. معايير الاختيار​ ​سيتم تقييم الم...

I need a hate speech detection code implemented using BERT embeddings and Graph Attention Networks (GAT). The data source will be forum comments. The model must achieve high accuracy. Requirements: - Implement hate speech detection using GAT - Utilize BERT for word embeddings - Source data from forum comments - High accuracy in detection is essential Ideal Skills: - Experience with BERT and GAT - Strong background in NLP and machine learning - Proficient in handling and processing forum comment data - Ability to optimize models for high accuracy

AI-Powered, WSI-Based Blood Cell Morphology Training for Laboratory Professionals Concept Overview HemoEdge is a digital education platform being developed to improve how blood cell morphology is taught, learned and assessed for laboratory professionals working in haematology and diagnostic laboratory settings. The platform is intended for an international audience and is being designed primarily for biomedical scientists, medical laboratory scientists, medical laboratory technologists, haematology laboratory staff, laboratory trainees, educators and training leads in laboratory science. Our Approach HemoEdge is being developed to address these gaps through a web-first digital platform that supports standardised, image-based morphology training for laboratory professionals. The approach...

Je souhaite faire développer une application mobile centrée sur l’intelligence artificielle, inspirée d’Instagram mais offrant une expérience nettement plus poussée. L’idée est de proposer un réseau social orienté photo-vidéo où l’IA amplifie la créativité des utilisateurs tout en ouvrant de nouvelles possibilités de monétisation et de suivi de performance. Fonctionnalités clés attendues : • Filtres avancés pour photos et vidéos : génération et ajustement en temps réel grâce à des modèles de vision par ordinateur (style-transfer, correction d’éclairage, effets 3D, etc.). • Opt...

Start your proposal with the word "MOSHI-SPEED". If you don't, your bid will be automatically deleted as a bot response. We are looking for a Senior ML/AI Engineer to fine-tune our voice assistant built on the Moshi / PersonaPlex streaming audio architecture. The goal is to extend the model to support Russian + Uzbek (Latin/Cyrillic) while maintaining zero-latency native switching. What is already done: All datasets (instruction/dialogue formats) are fully prepared, cleaned, and ready for training. No data collection or labeling is required. Scope of Work: Tokenizer Audit & Extension: Optimize the tokenizer for the Uzbek language (both scripts). SFT Fine-Tuning: Apply LoRA/QLoRA adjustments using the provided datasets. Crucially, updates must change weights without...

I need three distinct road scenarios built in SUMO—urban, highway and rural—each reflecting real-world geometry and traffic behaviour. For every segment you create, the network has to respect the exact length and width I will supply, include the specified number of lanes, apply the correct speed limits and position signboards where noted. The finished work must be delivered as a fully validated SUMO XML network file ready for simulation; no additional conversion on my side should be necessary. Please attach a detailed project proposal that outlines • the tools you will use in the SUMO suite (e.g., NETEDIT, NETGENERATE, additional Python scripts) • how you plan to translate my measurements into the network, handle signboard placement and verify compliance &bu...

We are looking for freelancers from the USA and LATAM regions to participate in a large-scale egocentric (first-person point-of-view) video collection project focused on capturing genuine household and industrial activities. The collected footage will help train and improve AI/ML models related to human activity recognition, hand-object interaction, robotics applications, and real-world scenario understanding. Participants will be compensated at $10 per approved video hour for USA contributors and $7 per approved video hour for LATAM countries contributors. Freelancers will record themselves performing real-world household and industrial activities, including cleaning, organizing, maintenance, logistics, retail, agriculture, manufacturing, construction, automotive services, and other wo...

Develop an AI-powered system capable of accurately converting handwritten clinical notes into structured digital text. The solution should leverage advanced handwriting recognition models optimized for medical documentation and automatically generate comprehensive, clinically relevant discharge summaries based on the extracted information. The system should support medical terminology, maintain high transcription accuracy, and integrate seamlessly with hospital workflows and electronic medical record (EMR) systems.

Project Description: Project "OmniHub" Cross-Domain Multimodal AI Consulting Ecosystem with Self-Evolving State 1. Project Overview Project OmniHub is an enterprise-grade, multimodal AI consulting hub designed to deliver expert-level, specialized assistance across various domains including Medicine, Law, Agriculture, Marketing, and Education. Unlike standard chat applications, OmniHub features a fully persistent memory tier (tracking preferences, policies, and facts across sessions) and an autonomous self-learning mechanism. The system processes multimodal inputs (Voice, Images, and Video) and orchestrates specialized domain agents via a unified context framework. 2. Core Operational Pillars The platform adapts its operational logic depending on the chosen specialized vertical:...

## About the Role We are looking for an experienced AI/ML Engineer who combines a strong foundation in traditional Machine Learning and Data Science with hands-on expertise in modern Generative AI systems. This role requires someone who can build production-ready ML solutions, develop intelligent LLM applications, design multi-agent systems, implement Retrieval-Augmented Generation (RAG), and deploy scalable AI services using modern MLOps practices. You'll work across the full AI lifecycle—from data preparation and model development to deployment, monitoring, and continuous improvement. --- ## Responsibilities * Design, build, and deploy end-to-end machine learning solutions. * Develop predictive models using classical ML algorithms for structured and unstructured data. * ...

I have a sizeable market-research dataset and I need a full classification pipeline built around it. The job starts with exploring and cleaning the raw survey responses, moves through feature engineering, and finishes with a well-tuned model that can reliably assign each record to the correct category. I would like you to: • Perform exploratory analysis to spot anomalies and guide preprocessing. • Build several candidate classifiers (e.g., logistic regression, random forest, gradient boosting, or any modern alternative you find suitable), compare them with cross-validation, and select the best. • Document the whole process in a clear, reproducible Jupyter notebook (Python, pandas, scikit-learn, or comparable libraries). • Deliver the final trained model, the not...

I need a production-ready AI application that ingests a user-supplied 2D floor plan (PDF, PNG, or DWG) plus any accompanying building-section notes, then automatically produces a full, permit-ready drawing set. Core output must include: • Foundation plan • Floor-framing plan • Building sections • Roof-framing plan • Exterior elevations The engine has to read the project’s geographic location, look up the corresponding climate and loading data, and embed all mandatory IRC 2018 clauses directly into the sheets (live references, snow/wind loads, footing depths, insulation R-values, etc.). Because the target audience is professional builders and code officials, the drawings must hit an advanced level of detail: framing member sizing, schedules, di...

Perakende operasyonlarımız için yapay zeka tabanlı satış tahmin modelleri kurup, bu modelleri etkili prompt’larla yönetecek deneyimli bir uzmana ihtiyacım var. Öncelikli hedefim, mağaza ve e-ticaret verilerimizi kullanarak haftalık – aylık satış rakamlarını doğru şekilde öngörebilmek ve sonuçları ekip arkadaşlarımın tek bir soruyla alabileceği biçimde sunabilmek. Beklediğim kapsam • Mevcut veri akışımı (POS çıktıları, stok kayıtları, kampanya bilgileri) inceleyip temiz, yeniden kullanılabilir bir eğitim seti oluştur. • Perakende satış tahmini için en uygun tahmin ve öngörü modeli (ARIMA, Prophet, LSTM veya senin önerin) seç; hiperparametrelerini optimize et ve doğruluk metriklerin...

I’m building an AI-powered service that can read batches of PDFs, Word files, and spreadsheets, then instantly surface the information I ask for. The core functions I need are: • Accurate data extraction from those three file types • Concise English-language summaries generated on demand • Reliable keyword and phrase identification that feeds a searchable index Everything will run in English for now, so no multilingual processing is required. I’m open to whichever stack you prefer—Python, Node, or another language—as long as modern NLP libraries (think PyPDF, docx, pandas, spaCy, transformers, LangChain, etc.) are used cleanly and the code is well-commented. Here’s how I picture the workflow: I upload a document or folder, the system pars...

building a lightweight Android-only app whose single purpose is to generate random lottery numbers. The interface needs to stay simple and minimalistic—plain backgrounds, clean type, just one or two buttons—so users can open the app and get their numbers instantly. Here’s what matters: • Core feature: a lottery number generator only. No ticket-purchasing or results-checking at this stage. • Platform: native Android, targeting at least Android 8.0. Kotlin or Java is fine. • Look and feel: strictly minimal, using basic Material Components without flashy graphics. • Randomness: please rely on SecureRandom (or an equally strong method) rather than () for genuine unpredictability. • Configurability: all game rules (number range, draw size, bonus ball...

I’m working through the hard-level section on LeetCode and would like clean, well-commented Python solutions that I can study and learn from. The focus is on algorithmic challenges, advanced data-structure manipulation, and occasional system-design–style questions that appear in LeetCode’s “hard” catalog. Here’s how I’d like to collaborate: • I’ll send one or more problem links at a time. • You return a Python file (or notebook) that includes: – an efficient, accepted solution (O-level analysis where relevant), – brief inline comments explaining key steps, and – a short paragraph at the end describing the approach and possible trade-offs. • Every submission must pass the LeetCode online judg...

I have an almost-finished video-localisation app: it already turns any user video into multiple languages by chaining speech-to-text, translation and text-to-speech. The last hurdle is the “believability” of the final clip. Right now both lip-movement timing and mouth shapes drift from the generated speech, and the audio itself feels flat because the recordings that feed the TTS are noisy. I want the final export to look and sound as if it were natively shot in the target language, with noticeably better modulation and intonation. What I expect from you • Diagnose and correct the lip-sync engine so phoneme-level mouth shapes and overall timing line up perfectly with the new audio. • Design or fine-tune a voice pipeline (clean-up, enhancement or a different TTS mo...

Lead Engineer — Computer Vision & LLM Systems London (hybrid/in-office preferred) | Full-time** ## The company We are an AI-powered property intelligence platform. We turn a Rightmove or Zoopla listing into a full development appraisal — GDV, build costs, planning probability, extendable envelope — derived directly from floor plan geometry and plot data. Our browser extension and AI assistant, Otto, put this in front of UK estate agents at the point of instruction; a consumer-facing product is in build. We are mid-pilot with Glue Dog, a major UK independent estate agent network. If you need process, roadmap certainty, or a large team around you before you can ship, this isn't the role. ## The role You will own two things end to end: the computer vision pipeli...

Saya ingin meningkatkan efisiensi kerja di lini produksi manufaktur dengan membangun sistem AI untuk pengawasan kualitas. Fokusnya adalah mendeteksi cacat produk secara real-time agar proses sortir berlangsung otomatis dan akurat, sehingga downtime dan limbah dapat ditekan. Ruang lingkup pekerjaan: • Memetakan alur inspeksi yang ada dan mengidentifikasi titik pengambilan data (kamera, sensor, atau citra mikroskop). • Membersihkan dan menyeimbangkan dataset citra produk; jika data belum memadai, sertakan rencana augmentasi atau synthetic data generation. • Melatih model computer vision (mis. YOLO, EfficientDet, atau metode setara) yang mampu mengklasifikasikan cacat dengan presisi tinggi. • Menyiapkan pipeline inferensi low-latency—idealnya menggunakan Python, Ten...

Project Title: Develop ANPR / ALPR Engine for Qatar and GCC Number Plates Project Description: We are looking for an experienced AI/computer vision developer or team to develop a custom ANPR/ALPR engine for Qatar and GCC vehicle number plates. The engine must detect and recognize vehicle license plates from live CCTV/video streams and still images. It should support Qatar plates as the primary requirement, with future support for other GCC countries such as UAE, Saudi Arabia, Oman, Bahrain, and Kuwait. Required Scope: 1. License plate detection from images and video streams 2. OCR/recognition of Qatar number plates 3. Support for Arabic and English plate characters where applicable 4. Handling different plate types, colors, sizes, and formats 5. Vehicle image capture with plate crop 6....

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...