Machine Learning (ML) Jobs

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...

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 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 need a Windows-only desktop application that runs entirely offline. The workflow is straightforward: 1. I open the program, browse my local folders, and pick any .mp4 file. 2. Before the scan starts, I set the frame-sampling rate—this could be every frame, every nth frame, or even a custom decimal rate such as 2.5 fps. 3. The app then performs object detection on those chosen frames. I do not mind which framework you use (YOLO, TensorFlow, OpenCV, ONNX, etc.) as long as everything is bundled so the tool works without an internet connection. 4. When the run finishes, the program produces a plain .txt sheet: one line per analysed frame containing the timestamp and the symbols / class names it detected. No other file formats are required. Deliverables • Stand-alone ...

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...

I have a CSV file with a blend of numerical and categorical columns that I’d like you to explore with Python. Your task is to write clean, well-commented code—preferably in a single, logically organized notebook or script—that walks through data cleaning, imputes missing values using the mean or median as appropriate, and then performs a concise exploratory analysis. Once the data is ready, generate a set of bar charts, line charts, and scatter plots with Matplotlib (seaborn is fine if you prefer) so the insights stand out clearly. Please rely on Pandas for wrangling, NumPy for any numerical work, and Matplotlib for the visuals. Keep the logic straightforward and easy for another developer to follow. Deliverables • Python source code (with comments and logical sect...

Python project-Data Centers in USA Important Note: To be considered, please tell me "I am experienced with Python Projects". I need contacts in the data center workforce. I NEED EXCELLENT RECENT CONTACTS, NOT OLD LIST. Freelancer data center project overview: My market is " FIBER CABLE USERS" of: 1. High-count fiber cables in data-centers: 288/576/864/1728/3456/6912 count fiber cables 2. Armored OSP fiber cables/project cable IMPORTANT: My target is people working on "active-projects" for data centers that are (#1 under construction) and (#2 planned) in two separate lists: First priority list: data centers "under construction" Data-center construction and project managers. OSP and telecom managers. Network-infrastructure managers. Fiber-in...

I want to bring together the scattered information on U-S residential, commercial, and land listings into a single, smart application that flags instant profit opportunities. The core of the build is an AI engine that cross-checks fresh data from legal real estate sources, including public records, well-known real-estate websites with open APIs, and other accessible databases, then benchmarks each listing against the average market price, historical sale prices, and true comparable property prices. Here is what I need delivered: • A data-ingestion pipeline that pulls and normalizes feeds or scraped data from the three sources above (without requiring MLS access), updating at least daily. • An algorithm (Python preferred, but I’m open) that scores each property for potent...

Hi — I have an existing SaaS product called Northquill.ai. Northquill takes an existing PowerPoint presentation plus narration and creates a finished narrated MP4. The particularly important use case is NOT AI-generated narration. It is taking one existing continuous long-form recording and automatically determining when the presentation should advance through the original slides. My real-world stress test is approximately: - 4 hours of continuous existing narration - roughly 150 PowerPoint slides - no existing timestamp map Northquill already has an AI alignment/review workflow, but it consistently fails at this scale. The biggest problems are: - suggested timings lean heavily toward approximately equal splitting of the total audio across the slides; - the AI does not underst...

I am assembling an end-to-end solution that can reliably follow the same individual across multiple cameras while keeping their facial identity hidden and their personal data footprints minimal. The goal is to balance privacy and utility, not to sacrifice one for the other. What the build must cover • Facial obfuscation that can be reversed only by authorized parties • Robust multi-camera tracking and re-identification pipelines • Quantitative privacy-assurance metrics that prove the strength of the protection I will look to you to design the core AI/CV architecture, code and train the models, wire them into a working prototype, and document measurable results on standard datasets. If you are comfortable blending deep-learning vision models, LLM-based policy logic, a...

Machine Learning / Data Engineer — English & Spanish We are an early-stage startup looking for a mid-level Machine Learning / Data Engineer with 3–5 years of experience. You will help build our data and ML systems from the ground up, from reliable data pipelines to production-ready models. Responsibilities * Build and maintain data ingestion and transformation pipelines. * Develop, deploy, and monitor machine learning models. * Clean and organise messy data from different sources. * Translate business needs into practical data or ML solutions. * Document systems, processes, and technical decisions. * Work independently and collaborate in English and Spanish. Requirements * Strong Python, pandas, NumPy, and scikit-learn skills. * Experience with PyTorch or TensorFlow. *...

**Project Title:** Create an Alignerr RL Task from Template Repository I'm looking for an experienced Python/AI developer who has worked with Docker, GitHub, and machine learning environments. ### Project Requirements * Set up the provided Alignerr RL task template repository. * Create a new task under the `problems/` directory using the appropriate starter template. * Configure task metadata and Docker environment. * Implement `` for deterministic scoring/rubric. * Create the required solution and task files. * Validate the task using the provided harness. * Generate the required `` and other validation artifacts. * Ensure the project passes all local validation checks and is ready for GitHub PR submission. ### Skills Required * Python * Docker * Git/GitHub * Machine Learning / ...

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 already have the dataset, an initial Logistic Regression model, and a rough Streamlit prototype. I now need a clean, production-ready web application that lets a student enter basic details—academic scores, extracurricular activities, and technical skills—and instantly returns the percentage likelihood that they will be placed. No login or sign-up flow is required; the interface should open straight to the form and result. Here is what is in place so far: • Data: inside /data • Training scripts: and in /src • A pickled baseline model () and a placeholder Streamlit file () You’ll refine or retrain the model with scikit-learn, tidy the codebase, and polish the Streamlit UI so the prediction feels seamless and engaging. Pandas will remain the core ...

Senior ML Engineer / Advisor / Technical co-founder: Model Post-Training & Alignment About Bentham Research Grounding Machine Intelligence in the Humanities Bentham is an applied research lab working at the intersection of AI and the humanities. We build doctorate-authored, peer-reviewed evaluation instruments, training environments, and datasets for frontier AI labs, enterprises, and governments. Our core focus spans ethics, moral reasoning, philosophy, political theory, law, theology, and history. We believe expanding model capabilities requires anchoring machine judgment in human wisdom through bottom-up, scholar-led workflows paired with AI-in-the-loop validation. The Role We are seeking an ML Research Engineer or Technical Advisor with hands-on experience in post-training model...

I am expanding an existing embodied-AI stack and now want to double-down on Vision-Language-Action modelling. The core goal is to design, train and scale a full pipeline that takes raw multimodal data, learns a joint representation and closes the loop all the way to real-time action on a physical robot. You will start from large, messy datasets (images, video clips, proprioception, language annotations) that already sit on our cluster. The job is to craft a new architecture in PyTorch, schedule distributed training, and iterate until the model achieves reliable closed-loop visuomotor reasoning in simulation and on hardware. Robust multimodal representation learning, a world-model/JEPA component, temporal memory, and predictive control need to come together in a single, maintainable codeba...

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...