Μηχανική Μάθηση (ML) Jobs

I am looking for an experienced Python and Machine Learning developer to build an AI-based bias correction model for WRF 2-meter temperature (T2m) forecasts. Historical data will include WRF forecasts and observed temperatures from weather stations . The goal is to train a model to predict forecast bias and produce corrected temperature forecasts.

I run several AI initiatives that revolve around computer-vision pipelines, and I need an adaptable hand to keep our image data in perfect shape before it ever touches a model. Your main focus will be classic machine-learning groundwork: pulling raw image assets from cloud storage, auditing their quality, handling augmentations, labeling inconsistencies, and packaging everything into tidy, well-documented datasets that flow straight into our training scripts. Most tasks live in the data-preprocessing and cleaning stage, so you should be comfortable writing reproducible code for resizing, normalization, class-balancing, and automated sanity checks. We currently use Python with Pandas, NumPy, OpenCV, and sometimes Albumentations; if you have a favorite toolkit that speeds things up, I am op...

I’m looking for an experienced AI/Software Engineer to work on NL2Repo and repository-level coding tasks. The work involves translating natural-language requirements into changes to existing code repositories, including implementation, testing, debugging and validation. Before hiring, I need to review relevant previous work. Please send 1–3 strong samples showing experience with NL2Repo, SWE-bench, coding agents, repository-level code generation, automated code repair, or similar projects. Please include: * Your role in the project * GitHub/demo/patch if available * Technologies/tools used * Brief explanation of what you built Please don’t send unrelated portfolio work. I’m specifically looking for real repository-level engineering experience.

NOTE: This is purely intellectual partnership. Money is not a motivation in this project. Seeking an established researcher for long-term collaboration in computational/structural biology. Applicants focusing solely on "Thesis Writing" or similar services will not be considered. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-u...

I am ready to commission a full-length, original research manuscript in artificial intelligence / machine learning that is suitable for submission to a Scopus-indexed, SCI-listed journal. At this stage I have no fixed problem statement, so I will rely on you to help shape a strong, publishable research question, design the methodology, run the experiments, and craft the paper end-to-end. Note : Apply only if you have a good publication record. Key deliverables • 2-3 complete manuscript (abstract through references) ready for journal submission • All code, datasets or preprocessing scripts required to reproduce the results • A concise response letter template explaining originality, significance and potential reviewer concerns Acceptance criteria will be clarity ...

I’m building an application whose core value is actionable forecasts generated by AI-driven predictive analytics. The idea is to feed historical data into a well-designed pipeline, surface trends, and return clear recommendations or probabilities to end-users inside a clean interface. I have not locked the project into a single sector yet, so whether the data turns out to be time-series sensor readings, customer behaviour logs, or financial records we can choose the most suitable modelling approach together. Here’s how I picture the flow: first, you and I refine the problem statement and decide what questions the model must answer. Next comes data ingestion and cleaning, followed by feature engineering and model selection—think scikit-learn, XGBoost, TensorFlow, or which...

I want to build an AI that can take any text prompt I feed it and return a lively, cartoon-style image. The core of the work is training or fine-tuning a model so it consistently produces bright, clean, character-driven artwork rather than photorealistic renders. I am open to the underlying architecture—whether that is a custom GAN, a diffusion approach, or a tailored Stable Diffusion pipeline—but the final results must read unmistakably as “cartoon” at first glance. To help me choose the right partner, send a detailed project proposal that walks me through your planned workflow: data collection or augmentation strategy for cartoon images, model selection, training schedule, expected hardware needs, and how you will package the finished system for everyday use (com...

I want to guide a small group of absolute beginners all the way to the point where they can land an entry-level role in AI, machine learning and generative AI. To get there, I’ll need a mentor who can design and deliver a complete learning journey—covering core theory just enough to ground them, then pivoting quickly into hands-on coding, model training and project work that showcases real-world skills. Here’s what I’m expecting from you: • A clear, modular curriculum that progresses from Python basics through classic machine-learning workflows and on to modern generative models (GPT-style LLMs, diffusion, etc.). • Live or recorded sessions with practical demos, Jupyter notebooks and datasets my trainees can keep experimenting with after class. •...

I have a clean, ready-to-use Iris dataset and need a complete Support Vector Machine classification pipeline built around it. The job is straightforward: tune an SVM (scikit-learn or similar) to separate the three Iris species, document the process, and hand over reproducible code and results. Here’s what I expect: • A concise notebook or script that loads the data, performs any minimal preprocessing you find beneficial, runs hyper-parameter optimisation, trains the final model, and outputs accuracy, precision, recall and the confusion matrix. • A short write-up (markdown inside the notebook is fine) explaining why the chosen kernel and parameters work best, plus any insights you notice in the feature space. • Saved model file so I can deploy or reload it quickl...

I need a standalone Windows application that bundles a local GPT-style language model with a voice layer powered by Google Assistant. The workflow is simple: I open any PDF, the model ingests it locally, and then—through voice alone—I can ask questions about the document and get spoken answers back. Key points I must see working: • Runs entirely on Windows without needing command-line setup. • Uses the Google Assistant voice interface for both input and spoken output. • Processes PDFs offline: the text is extracted, fed to the model, and retained only on my machine. • Voice queries such as “What is the author’s main argument on page 5?” return an accurate, concise spoken answer within a reasonable response time. I’m open to wh...

I’m building out a series of AI-driven features and need an engineer who can step in wherever the development cycle demands— from early-stage prototyping to production deployment. The exact focus is still open, so you’ll help me evaluate whether classic machine learning, natural language processing, or computer vision best fits each feature we prioritise. Here’s how I see the collaboration: • Work with me to clarify the first use-case, audit the data I already have, and outline any additional collection or labelling steps. • Design a model architecture suited to that problem, train and validate it, then document performance clearly enough for non-technical stakeholders. • Package the solution into clean, modular code (Python preferred) with stra...

The statistical groundwork is finished: 106,000+ football matches and more than 48 million individual odds movements are already structured, cleaned, and sitting in Python-ready data stores. What I need now is a fresh layer of intelligence that can group the patterns and pick up on the regime shifts as they occur —specifically, to surface the hidden structures that govern betting-market behaviour. This regime detection will challenge you immmensely but also matering it can provide enormous opportunity - are brave enough and smart enough to challenge the status quo?We have all the ground work laid and there is no statistical obvious deviation that favors the bet placer ONLY the BOOKIE over 106K of matches - and recent one months anlaysis - there is no ground work to be done only for y...

I'm seeking an expert to help with a research paper on AI/ML in healthcare to get published in IEEE conference as well as reputed journals Key requirements: - In-depth knowledge of AI/ML, especially in predictive analytics. - Experience with healthcare datasets, particularly patient medical records. - Strong research and writing skills. Ideal skills include: - Good research profile. - - Ability to present complex ideas clearly and concisely.

The aim of this early-stage project is to design a multilingual media-monitoring pipeline that blends AI-driven text mining with human foreign-policy expertise so we can anticipate policy shifts before they surface officially. I already know the broad contours—coverage must span almost all languages relevant to the regions under study, while drawing from mainstream news outlets, official government releases and authoritative expert commentary. What I need now is a small, cross-disciplinary group comfortable with media monitoring, foreign-policy analysis and-or modern AI / machine-learning techniques (NLP, topic modelling, LLMs, classification workflows in Python or R). Together we will review and refine: • the critical sources in each language and define ingestion method...

Remote Sensing + AI/ML Model for Identification of 10 Major NTFP Species in Jharkhand, India We are looking for an experienced "Remote Sensing / Computer Vision / Geospatial AI developer" to develop or fine-tune an AI/ML model capable of identifying and mapping "10 major Non-Timber Forest Product (NTFP) tree species in Jharkhand, India" using remote sensing imagery. Target Species 1. Sal 2. Mahua 3. Kusum 4. Tamarind 5. Kendu 6. Palash 7. Chironji 8. Amla 9. Harra 10. Bahera Objective The objective is to develop a reliable workflow that can identify these species from remote sensing data and ultimately generate a **species-wise tree inventory/map**, including tree locations and counts. Scope of Work We are open to either: Developing a new model from scratch or F...

*السيرة الذاتية المعدلة: *مطور مستقل متخصص في التعلم الذاتي المدعوم بالذكاء الاصطناعي* **نبذة عني:** شخص منضبط ومتحمس للتطوير الذاتي والمهني، أمتلك شغفاً مستمراً بالتعلم الذاتي واكتساب المعرفة من المصادر المتخصصة. أعتمد منهجية شخصية تجمع بين القراءة التحليلية وإدارة المعرفة باستخدام أدوات الذكاء الاصطناعي، مما يمكنني من تحويل المحتوى إلى مناهج تعليمية منظمة وخرائط مفاهيمية. **المهارات الرئيسية:** - التعلم الذاتي وإدارة المعرفة بالذكاء الاصطناعي - أساسيات البرمجة (Python) - التصوير الفوتوغرافي - صناعة المحتوى التعليمي - تعليم اللغة الإنجليزية - الانضباط الذاتي والتخطيط اليومي **الاهتمامات:** - تطوير الذات وعلم النفس - التكنولوجيا والذكاء الاصطناعي - اللياقة البدنية (Calisthenics)

I'm looking for a senior developer with hands-on experience defeating Arkose Labs FunCaptcha (specifically the newer game variants such as hopscotch_highsec / hopscotchv3) in a headless / API-based pipeline. ▎ ▎ I already have a working Node.js codebase that: ▎ - Mints Arkose tokens via a real-Chrome TLS client (bogdanfinn) ▎ - Rotates residential proxies + BDA fingerprints per attempt ▎ - Uses commercial classifiers (YesCaptcha, OmoCaptcha, ) ▎ ▎ The pipeline reaches the challenge-submit step consistently, but the classifiers we use are giving low-accuracy answers on the newer navigation-style variants, so we're getting solved:false on the final wave. ▎ ▎ What I need help with: ▎ - Diagnosing whether the failure is truly answer-quality vs a deeper trust/suppression issue ▎ - Imp...

I’m looking for an experienced **AI trainer/mentor** who can provide structured, one-to-one online training and help me progress from AI fundamentals to practical, job-ready skills. The objective is not simply to complete a course or learn theory. I want to **understand AI concepts clearly, gain hands-on experience through practical projects, and develop skills that I can confidently demonstrate during job interviews**. The training should be beginner-friendly and gradually progress from fundamentals to more advanced and practical topics. ### Learning Areas The training should cover: **1. AI Fundamentals** * Artificial Intelligence concepts and terminology * How modern AI systems work * Real-world AI use cases * AI models, data, training and inference * Responsible AI, governan...

I need an AI system that can identify computer devices such as PCIE ISA PCI AGP for a pick and place machine. The AI doesn't need to have a high level of precision; an accuracy of less than 80% is acceptable. Skills and experience ideally suited for this job include: - Proficiency in AI and machine learning - Experience with computer vision and image recognition - Knowledge of computer components - Ability to develop a system with basic accuracy level (<80%) - Understanding of pick and place machines/Robotic arms - working with video machine learning - Robotics

Sessions will revolve around linear algebra, calculus, and probability as presented in the open-access text , always tying theory back to practical machine-learning use-cases. I am a Beginner and progress fastest through Kinesthetic (hands-on activities), so each concept should be paired with worked examples, code snippets in Python or MATLAB where relevant, and plenty of guided problem practice. What I need from you • Live, interactive lessons that unpack the core ideas behind vectors, matrices, multivariable calculus, limits, derivatives, integrals, random variables, and distributions, then connect them to algorithms such as gradient descent, PCA, and logistic regression. • Custom practice sets after every session, plus detailed walk-throughs of the solutions. • Bri...

Sessions will revolve around linear algebra, calculus, and probability as presented in the open-access text , always tying theory back to practical machine-learning use-cases. I am a Beginner and progress fastest through Kinesthetic (hands-on activities), so each concept should be paired with worked examples, code snippets in Python or MATLAB where relevant, and plenty of guided problem practice. What I need from you • Live, interactive lessons that unpack the core ideas behind vectors, matrices, multivariable calculus, limits, derivatives, integrals, random variables, and distributions, then connect them to algorithms such as gradient descent, PCA, and logistic regression. • Custom practice sets after every session, plus detailed walk-throughs of the solutions. • Bri...

I am a founder of mobile app development and website building ,TheTechnoEra, I take projects from my clients and delegate to freelancers and supervise it. I need a reasonable Developer team preferrbly based in India, Delhi-ncr (preferred) to work with me on project basis. ## Build a Long-Term Project-Based Software Development Team NOT looking for one person who claims to be an expert in everything, contact only if you have a team and you are very reasonable. I want to build a small network of highly skilled specialists who can work together on projects depending on the requirements. ### 1. SENIOR FULL-STACK DEVELOPER / SOLUTION ARCHITECT — PRIORITY We are looking for a senior developer who can take business requirements and convert them into a proper technical solution. Requir...

I want to build an AI-driven module that sits alongside my existing trading setup and delivers continuous, real-time risk assessment for both the forex and cryptocurrency markets. The goal is simple: every open position and pending order should be evaluated second-by-second so I immediately see my true exposure and can take action before a drawdown spirals. Here’s what matters most to me: • Real-time risk assessment is the entire focus. Position sizing, margin usage, volatility spikes, correlation shifts, and news shocks all need to feed straight into the model so it can flag elevated risk instantly. • The first release only has to cover forex and crypto. If your architecture is flexible enough to extend into stocks later, that’s a plus but not required right now...

Machine Learning Pipeline – Job Market Analytics & Salary Prediction Created an end-to-end machine learning pipeline for looking at job market data and guessing what salaries might be. Key Features: Worked on. Fixed 10,000 or more job-market records using Python, Pandas and NumPy. Made an automated ETL/data preprocessing pipeline to take care of data cleaning, changing data making it all the same and checking if it is all the same. Added a PostgreSQL (Neon) database to keep data in a good way and help with machine learning work. Did analysis of the data. Looked at the features to find what helps predict salary. Trained a Random Forest regression model to guess salaries. Found that employee_residence is one of the things to use for guessing salaries. Built a Fas...

I'm looking for a skilled developer to create both an agent-based simulation and an AGI system. Requirements: - Develop a comprehensive agent-based simulation. - Design and implement AGI with advanced cognitive abilities. - Integrate both systems for seamless interaction. Ideal Skills & Experience: - Expertise in AI and simulation technologies. - Proven experience in AGI development. - Strong programming skills in relevant languages. Please submit detailed project proposals.

I’m looking for an experienced **AI trainer/mentor** who can provide structured, one-to-one online training and help me progress from AI fundamentals to practical, job-ready skills. The objective is not simply to complete a course or learn theory. I want to **understand AI concepts clearly, gain hands-on experience through practical projects, and develop skills that I can confidently demonstrate during job interviews**. The training should be beginner-friendly and gradually progress from fundamentals to more advanced and practical topics. ### Learning Areas The training should cover: **1. AI Fundamentals** * Artificial Intelligence concepts and terminology * How modern AI systems work * Real-world AI use cases * AI models, data, training and inference * Responsible AI, governan...

I have a time-series collection of remote sensing data—specifically multi-spectral satellite imagery—and I need an AI model that can reliably pinpoint and quantify changes that occur from one acquisition date to the next. The end goal is an automated workflow that flags where and when significant alterations appear, whether those are shifts in vegetation, newly built structures, or other surface transformations. To give you an idea of scope, the raw scenes are already orthorectified and radiometrically corrected. What I’m missing is the machine-learning layer that will take two (or more) aligned images, learn the patterns of normal variability, and then output clear, georeferenced change masks and summary statistics. Key expectations • Model architecture, trainin...

I need a purpose-built software package that lets me run my CNC‐based 3D printers from a single, intuitive interface. The focus is on day-to-day control and operation rather than design work: loading G-code, managing multi-axis motion, optimizing toolpaths on the fly, and keeping a constant eye on temperatures, feeds, and sensor feedback without pausing a job. The machines on my floor vary, so the application has to drive everything from a straightforward FDM gantry to more complex SLA and SLS setups. That means kinematics for rotary or additional linear axes, stepless speed changes, and smart re-slicing or re-planning if a collision or out-of-range condition is detected. Real-time monitoring is non-negotiable; I want live dashboards that surface spindle speed, laser power, material flow,...

I am looking for someone with experience in LLM for 10 minute question

I have hours of CCTV footage from 5-a-side and 7-a-side turf matches and I want an end-to-end computer-vision pipeline that turns every recording into clear, per-player metrics. The system must treat fitness and football performance with equal weight. For fitness I care most about minutes played, distance covered and calories burned; for football performance the priorities are goals and shots. Anything else you can derive is welcome, but these numbers must be rock-solid. What I expect you to build • A repeatable pipeline that ingests raw CCTV video, detects and re-identifies each player, tracks their movement through the entire match and exports a CSV/JSON report plus simple visual overlays. • Fitness layer: automatic calculation of minutes on pitch, total distance, speed p...

I need an experienced AI/full-stack developer to build a cricket betting market analysis web app. The main purpose is to assess whether current bookmaker odds accurately reflect the real probability and strength of each team, and to identify potential market overreactions and value opportunities. The app should combine live and historical cricket data, including player statistics, team performance, match situations and bookmaker odds. It should analyse the data and provide clear signals showing when the market may be overreacting and when the available odds may differ significantly from the estimated true probability. The dashboard should be clean and simple, with easy-to-understand charts, probability comparisons, confidence levels and explanations for each signal. Key features should...

I’m working through a graded assignment for my Data Science & AI course and need an expert hand with the assignment portion. The task isn’t massive, but it does require someone who can walk me through each step, provide clean, well-commented code (Python preferred), and explain the reasoning in plain language so I can confidently discuss the approach later. What I’ll need delivered: • A reproducible notebook or script that tackles the assignment requirements from data preprocessing through model evaluation • Brief inline comments plus a short write-up (one page is fine) summarizing methods, key metrics, and why those choices make sense • A quick call or chat after delivery so I can clarify any points before submission If that sounds straightforwa...

I need a concise boundary-definition plan that lets me track human movement in a small outdoor space—think a plaza or pocket-park. You may choose either laser range-finders or LiDAR sensors; I’m flexible as long as the final solution reliably flags when a person enters or exits the defined perimeter. Here’s what I’m after: • A site-layout drawing that shows optimal sensor placement and coverage, taking into account line-of-sight, mounting height, weather protection, and power/network needs. • Configuration guidelines for the chosen hardware (recommended makes, models, beam angles, ranges, data rates). • A basic processing workflow or script that converts raw distance data into real-time boundary-crossing events I can feed into my analytics stac...

I’m creating a production-ready AI/ML solution that automatically reviews articles pulled from news websites and flags any item that is likely to be fake. All content will be in English, and the system must consistently reach at least 90 % accuracy on an independent validation set; precision and recall should be reported alongside overall accuracy so I can see how it performs on both real and fabricated pieces. The workflow I have in mind combines three parts: • an automated pipeline that scrapes or ingests fresh articles, cleans the text, and stores it in a structured format; • a robust NLP model—think transformer-based architecture fine-tuned on a well-curated fake-vs-real news dataset—trained and evaluated in Python with libraries such as PyTorch, Tensor...

I need an end-to-end AI solution that can locate, filter and deliver up-to-date scientific studies to research fellows on demand. The core idea is simple: a user enters a topic, keyword, DOI or even an abstract snippet and instantly receives the most relevant peer-reviewed papers, neatly ranked with key metadata and brief AI-generated summaries. To make that happen, the tool should draw from open databases such as PubMed, arXiv, Crossref and any other free or licensed sources you recommend, then apply NLP techniques—semantic search, named-entity recognition, topic clustering—to surface only the most pertinent results. A clean web interface or a lightweight desktop app is fine; what matters is accuracy, speed and an intuitive workflow for researchers who will be using it daily....

I’m building a browser-accessible tool that can take an image uploaded by the user, run it through an AI model, and immediately return classification or detection results on-screen. All core logic must live server-side, exposed through a clean REST or GraphQL endpoint, so the front-end remains lightweight and responsive across modern web browsers. Key expectations • Model accuracy matters: please start with a proven open-source architecture (e.g., YOLOv8, ResNet, EfficientDet) fine-tuned on a small sample set I’ll provide, then document how to retrain it when new data arrives. • One-click deploy: include a Dockerfile and concise README so I can spin everything up on a fresh VPS. • Results returned as JSON plus visual overlays (bounding boxes or masks) rend...

I’m assembling a training corpus for a math-focused large-language model and need a calculus specialist to enrich selected research papers with clear, accurate explanations of every sophisticated step. You’ll read each PDF, insert concise LaTeX-formatted comments that unravel dense derivations, and flag any ambiguous notation so the model grasps the intended meaning. Deliverables • Annotated PDF (or .TEX) with inline clarifications • Companion JSON that maps each comment to its passage and supplies a one-sentence paraphrase Acceptance criteria • All non-trivial calculus moves are explained in ≤3 sentences, free of factual error • Original math notation preserved; added text compiles in LaTeX • File names and JSON keys match the template I...

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...

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...