Pembelajaran Mesin (ML) Jobs

I’m assembling a small, remote team to experiment with new intelligent-system concepts and deliver production-ready web applications. My main focus is Artificial Intelligence, so every feature we design will revolve around smart data processing, predictive models, or autonomous decision-making. To turn those ideas into usable products we’ll need solid Web Development skills, and that’s where your expertise with JavaScript/TypeScript, Python/Django, and Ruby on Rails comes in. What you can expect: • Rapid prototyping of AI features (model selection, training, and integration). • Building clean, responsive front-ends and scalable back-ends that showcase those models. • Continuous feedback cycles so we can iterate quickly and release often. A working style t...

I need a concise yet clear live demonstration that introduces reinforcement learning through a Q&A-driven format. During the session you will walk through a working example—feel free to use Python, OpenAI Gym, or any comparable toolkit—and answer a short set of practical-application questions I’ll provide in advance. Alongside the demo, complete a small written assignment that summarises the example, explains the key decisions you made, and responds to those same practical-application questions in text form (about one page is enough). Deliverables • Live demo link or recording (10-15 min) • Source code/notebook used in the demo • Written assignment (≈1 page) covering the Q&A Keep the material beginner-friendly, focused on showin...

I’m looking to strengthen my Python fundamentals with an emphasis on data structures. I already know my way around variables, simple loops, and the interpreter, but I need a clearer, more practical grasp of lists, tuples, sets, dictionaries, and the best ways to use them in real code. Here’s what I have in mind: • Short, live or recorded walkthroughs that break down each core data structure • Small, hands-on exercises I can run locally so I see how the concepts behave • Clear, commented reference scripts I can revisit later By the end, I want to feel confident choosing the right structure for a task and manipulating it efficiently. If you enjoy guiding learners who sit somewhere between “total newbie” and “intermediate,” let’...

I need an AI-driven solution that will remove the manual grind from our image-heavy data entry and management flow. The end product should pull raw image files from a designated source, read the embedded or visual information, classify or tag each file correctly, and populate our existing database automatically. Accuracy is the top priority; any mislabeled or unprocessed images must be flagged for human review rather than slipping through. Here is what success looks like for me: • A repeatable training pipeline (Python preferred,TensorFlow or PyTorch are both fine) capable of handling new images as the dataset grows. • An inference service that runs on-prem or in the cloud—AWS S3 / Lambda is ideal, but I’m open to workable alternatives—that accepts a batch ...

I have a curated dataset of patients’ genetic profiles and need a deep-learning solution that can reliably flag the presence of heart disease. Because the data are entirely genomic, the job begins with thoughtful preprocessing and feature engineering (handling high-dimensional SNPs, normalisation, train/validation split, class-imbalance techniques if required). My single, overriding success metric is F1 Score; accuracy alone will not do, so the model must be tuned to balance precision and recall. You may choose the exact framework—PyTorch or TensorFlow/Keras are both fine—as long as the final code is clean, reproducible, and GPU-ready. Deliverables • End-to-end Python code or notebook that loads the raw genetic data, performs preprocessing, trains the deep neur...

I'm seeking a skilled developer to create a web-based ERP system tailored for small manufacturing businesses. The ERP should include the following modules: - Inventory Management: Track raw materials, work-in-progress, and finished goods. - Production Planning: Schedule and manage production activities. - Quality Control: Monitor and ensure product quality at various stages. Ideal Skills and Experience: - Proven experience in developing ERP systems, especially for the manufacturing sector. - Strong understanding of inventory, production, and quality control processes. - Expertise in web-based application development. - Ability to create user-friendly interfaces suitable for small business users. - Good project management skills to ensure timely delivery within budget. Please provid...

I’m commissioning two linked yet distinct web-based solutions and would like them developed within the same codebase for easier future maintenance. 1. Bold and colorful car library On the home page a visitor can type a car’s name or model number and instantly receive key facts: speed, acceleration, core advantages and disadvantages. Because “family seeing car” matters too, the comparison must also display fuel efficiency and mileage alongside the speed and performance metrics. When users pick two—or even several—models, a clean side-by-side comparison table automatically populates so differences are obvious at a glance. A friendly admin panel should let me update specs easily without touching code. 2. AI farming assistant Farmers will log in, mark ...

I’m building “Premium AI”, a web platform that marries two equally critical capabilities: an AI-powered Home Architect and seamless Voice-First Navigation. I already have the product vision and the high-level UX; I now need a full-stack developer who can turn that vision into a production-ready React.js + Node.js application and weave in robust AI/ML models. Core scope • Home Architect: take a user’s spoken description, output an autogenerated floor plan, interior design suggestions, and render a 60-second walkthrough video on the fly. • Voice-First Navigation: the entire interface must be operable by voice. The system should recognise three command categories: – Navigation commands (open, close, navigate) – Design commands (create...

Necesito a una persona que se integre de forma continua con nuestro equipo para llevar la personalización y automatización dentro de Odoo al siguiente nivel e incorporar capacidades de inteligencia artificial en todas las áreas posibles. Qué espero que hagas • Revisar y mapear todos nuestros procesos de negocio actuales (inventarios, facturación, contabilidad, CRM y cualquier otro flujo operativo). • Diseñar un plan de automatización por fases que cubra desde pequeñas mejoras hasta la optimización completa del flujo «end-to-end». • Implementar reglas, flujos de trabajo y personalizaciones en Odoo (Studio, Python, XML, API REST) que reduzcan tareas manuales y errores. • Desarrollar o ...

AI Agent Evaluator Remote · Contract · Flexible Hours We're hiring evaluators to help assess and benchmark cutting-edge AI agents. This is hands-on work at the frontier of agentic AI — not prompt writing, not basic QA. You will be designing complex real-world tasks, running them across multiple large language models, and producing the structured evaluations that shape how the next generation of AI agents are trained. What You'll Do You will design multi-stage agent tasks across real-world domains including health, finance, productivity, relationships, and personal exploration. Each task must require the agent to coordinate across multiple tools and systems, manage persistent state, handle realistic friction points, and produce a verifiable final artifact. Tas...

Job Responsibilities Annotate and label vehicle data according to provided guidelines. Identify and mark vehicles accurately based on their assigned categories/labels. Follow project instructions carefully to ensure high-quality annotations. Complete assigned tasks within the given deadlines. Maintain consistency and accuracy throughout the project. Requirements No coding or technical background required. Basic computer and internet skills. Ability to follow instructions and pay close attention to detail. Strong commitment to delivering work on time. Focus on accuracy and quality. Important Notes This is a time-sensitive project with strict delivery timelines. Accuracy is critical, as the annotated data will be used for AI/ML model development. Training and annotation guidelines will be ...

AI Agent Evaluator Remote · Contract · Flexible Hours We're hiring evaluators to help assess and benchmark cutting-edge AI agents. This is hands-on work at the frontier of agentic AI — not prompt writing, not basic QA. You will be designing complex real-world tasks, running them across multiple large language models, and producing the structured evaluations that shape how the next generation of AI agents are trained. What You'll Do You will design multi-stage agent tasks across real-world domains including health, finance, productivity, relationships, and personal exploration. Each task must require the agent to coordinate across multiple tools and systems, manage persistent state, handle realistic friction points, and produce a verifiable final artifact. Tas...

I have a sizeable EEG dataset that needs to be transformed into a working epileptic-seizure detection and short-term prediction pipeline. The workflow I have in mind is clear: • Data preprocessing: begin with classic EEG Filtering and follow with signal Normalization to standardise every trial. • Feature extraction: apply a Wavelet Transform to capture the relevant time–frequency patterns that precede a seizure. • Dimensionality reduction: reduce the resulting feature space intelligently so the model is both fast and interpretable. • Modelling: my first choice is a Random Forest classifier/regressor for both detection and prediction tasks; however, if you can show convincing evidence that a complementary deep-learning block will boost performance without sacri...

# AI-Powered Enterprise Document Intelligence Platform ## Project Overview We are seeking an experienced AI Architect / Full-Stack Development Team to build a scalable enterprise SaaS platform capable of collecting, processing, analyzing, and extracting structured intelligence from large volumes of unstructured documents. The platform will combine document acquisition, OCR, data extraction, AI-powered analysis, workflow automation, advanced search, reporting, and user management into a unified system. This is a long-term product with multiple development phases. We are looking for highly experienced professionals capable of building production-grade AI systems, not simple websites. --- ## Scope of Work ### Phase 1 – Data Collection & Processing The platform should be capa...

At a glance • Engagement: fixed-price rebuild delivered by a dedicated team • Timeline: 8 calendar weeks, broken into milestone releases • Collaboration: daily Slack stand-ups, weekly demo calls, GitHub flow PRs Project overview The current Demand Forecasting Tool (DFT) is mission-critical yet unstable; frequent crashes under load have made it impossible to scale. I’m replacing it entirely and need a production-ready version that is fast, resilient and 100 % correct in its domain outputs. Fixed tech stack You will inherit a fully defined stack and infrastructure playbook (shared after NDA). The stack is non-negotiable, so your team must be comfortable dropping straight into an existing repo, containerised workflow and CI/CD pipeline. Required skills (pro...

# Freelancer Requirement: Warehouse Label Matching From Existing Text Inference ## Project Context We already have these components working in production: - QR code detection - Barcode detection - Text detection / OCR inference We do **not** need a new OCR model or a new QR/barcode detector. The required work is to build/improve a **warehouse label matching module** that takes existing OCR text results and matches them to warehouse label records in our inventory data. ## Goal Given OCR text detections from images, match text candidates to the correct warehouse label with high precision and practical recall, and return ranked matches with confidence and explainability. ## In Scope - Use existing text inference outputs (detected text, confidence, bounding boxes) as input. - Normalize no...

I’m developing an AI-native CRM specifically for pharmaceutical and life-science companies and now need the core embedded agent that handles pre-call planning for our sales, marketing, and medical teams. The assignment When a user selects an HCP, the agent must instantly pull that provider’s complete history from our unified customer database, surface key insights, and generate role-specific talking points that respect every compliance rule we live under. Think of it as a smart briefing document that appears in seconds, ready to guide the next field visit, virtual detail, or MSL discussion. What I’ll count as success • Architecture and data-flow design showing how the agent interfaces with our existing lake/warehouse and respects HIPAA, GDPR, and 21 CFR Par...

I am planning a sustained series of Artificial Intelligence studies that will be submitted to peer-reviewed journals and conferences. For each project I will provide the core research question, relevant datasets (or simulation parameters), and any preliminary experimental results. Your task is to transform that material into a full, publication-ready research paper that meets the formatting and methodological standards of venues such as IEEE, ACM, or Springer. Typical flow • You review the brief, confirm the research hypothesis, and propose the structure of the paper. • Once we agree on the outline, you expand it into an 8-12 page manuscript in LaTeX (preferred) or Word, complete with abstract, introduction, related-work section, methodology, experiments, discussion, conclus...

About Us FUEL GYM & YOGA is a functional fitness gym that broadcasts workout programs through our own TV broadcasting application. We have a library of approximately 1,200 workout exercise videos. Since our application supports only GIF format, we have already converted all videos into 5–10 second GIFs. Project Requirement We are looking for an AI Video Generation expert or team to convert our existing workout GIFs into AI-generated fitness model GIFs while preserving the exact exercise movement. Objective Create a consistent and professional workout library by replacing different real-life models with a 4 different Male and Female AI-generated fitness model across all exercise GIFs. Input Files Provided Original workout GIFs (5–10 seconds each) Reference AI model/st...

I have a project that needs a full machine-learning workflow built in Python. The business objective and the kind of data we will work with are still open for discussion, so I’m counting on your expertise to help me refine the goal, pick the right algorithms, and prepare a clean, reproducible pipeline. What matters right now is that everything runs in Python 3.x and relies on well-supported libraries such as pandas, NumPy, scikit-learn, TensorFlow or PyTorch. Once we agree on the exact use-case, you will: • set up data-preprocessing scripts and exploratory notebooks • build, train, and tune the initial model • deliver clear, commented code with a brief report explaining choices, metrics, and next-step recommendations The work is complete when I can run your co...

I’m expanding a US-based SaaS product team and need an experienced .NET engineer who can own our customer-facing web applications while helping to ship production machine-learning models. Most of our stack lives in C# with ASP.NET MVC and Entity Framework, but our ML pipeline runs in Python, so you should feel at ease moving between both worlds—writing clean controller/API code, optimising queries generated by EF, and wrapping or calling Python models for inference and training. Selected technologies you must already handle: • Entity Framework • Python • AI (machine-learning models) Prior experience at a U.S. company is strongly preferred because we follow U.S. business hours (roughly 9 am–5 pm EST, Monday–Friday). If you enjoy bridging full-...

I’m building a future-ready web platform that marries a sleek, modern UI with genuine AI power. At its core sits a predictive analytics engine that surfaces real-time insights for visitors—trend forecasts, usage predictions, and data snapshots that update as each interaction occurs. The interface must feel effortless: clean layouts, fluid micro-animations, and full responsiveness across desktop, tablet, and mobile. Immersion is just as important as intelligence. I need interactive 3D models rendered right in the browser so users can rotate, zoom, and explore products or data outputs smoothly, without plugins. These models should react to the predictive analytics feed, updating geometry or overlays the instant new data arrives. Please keep the architecture modular and scalable...

I am looking for an experienced Python developer to build an AI-powered Investment Intelligence Platform for Indian markets. This is NOT an auto-trading platform. The platform should act as a professional investment research assistant and provide recommendations, rankings, portfolio insights, risk assessments, alerts and daily reports. Technology Stack: - Python - FastAPI - PostgreSQL - Streamlit - OpenAI API - Angel One SmartAPI - TradingView Webhooks - Telegram Bot - Docker Modules Required: 1. Long-Term Investing Engine 2. SIP Recommendation Engine 3. Swing Trading Engine 4. Intraday Trading Engine 5. Commodity Analysis Engine 6. IPO Analysis Engine 7. Portfolio Analysis Engine 8. Risk Management Engine 9. AI Discovery Watchlist Engine 10. Recommendation History Engine 11. AI Accur...

I am building an AI-driven tool that can draft a full range of Pakistani legal documents—lawsuits, applications, appeals and more—while automatically sourcing, citing and applying the relevant statutes, rules and case-law published on official government websites. Scope of law The engine must work across Criminal Law, Civil Law and Corporate Law. Whenever I supply a fact pattern or fill out a guided questionnaire, the system should pull the appropriate provisions, weave them into a well-structured pleading and flag any missing information it still needs. Interactive legal Q&A In addition to document generation, the same knowledge base should power a question-and-answer feature that returns clear, reference-backed advice both as text and as synthesized voice. A user ...

I’m building an end-to-end flower–image recognition system that runs as a web application. Users will be able to upload photos from their local drives, and the backend will instantly identify the flower species with high accuracy. Here is the scope I need covered: • Data pipeline – curate or expand an existing public flower dataset, handle cleaning, augmentation, and train/validation/test splits. • Model development – implement a Convolutional Neural Network in Python (TensorFlow / Keras or PyTorch) tuned specifically for multi-class flower classification. I’m open to transfer-learning from ImageNet-based architectures if that speeds convergence. • Evaluation – provide precision, recall, F1, and confusion matrix on the held-out t...

I’ve collected a sizable housing-market dataset and now need a complete prediction pipeline built in Python. The work starts with thorough cleaning, preprocessing, and creative feature engineering so that every useful signal—size, rooms, location ratings, and any other attributes we can derive—is captured. Once the dataset is ready, I want to benchmark several approaches, but the core focus is Random Forest Regression. Feel free to test Linear or Support Vector methods if they might edge out the forest, yet the final report should clearly show how each model performs against the usual metrics (RMSE, MAE, R²). Visual insight is important, so the notebook or script has to generate intuitive plots—scatter trends, residual diagnostics, whatever best tells the sto...

I need an AI Research bot that can help with data analysis and report generation. The bot should be capable of analyzing: - Text data - Numerical data - Image data And generating the following types of reports: - Summary reports - Detailed analytical reports - Visual reports with charts and graphs Ideal skills and experience: - Expertise in AI and machine learning - Strong background in data analysis - Proficiency in report generation tools - Experience with various data types, especially text, numerical, and image data Looking for a freelancer who can deliver a robust and efficient AI Research bot within budget.

I’m acquiring private, production-tested GitLab repositories from the Fintech space to enrich our AI/LLM training corpus at Infobay AI. I will only consider codebases that have never been public, were actively used in a real-world environment, and show evidence of at least two contributors. A reliable test suite and a clean, repeatable build are mandatory. If your repository meets those standards, please outline: • The tech stack and framework versions • Proof it has never been public (e.g., creation logs, access history) • Confirmation of two-plus contributors • Instructions for running the test suite and reproducing a production build • Any existing documentation that shipped with the system Once I verify everything, we’ll arrange secure, ti...

I need an intermediate Python developer to build a lightweight simulation project demonstrating a "Physics-Informed AI Agent" defending a smart car's Autonomous Emergency Braking (AEB) system against a cyber attack (False Data Injection Attack causing Ghost Braking). I will only release the payment through two specific contract milestones:- Milestone 1 (50% of budget): Provide the completed Python code (.py or Jupyter Notebook) that runs flawlessly and generates clear comparison graphs using matplotlib. You must send a quick video recording proving it works on your machine.- Milestone 2 (50% of budget): A 45-minute Zoom/Google Meet call to walk me through the code line-by-line, explain the physics math used, and prepare me to answer questions for my college presenta...

a) Setting a concrete Rubric-based evaluation criteria (as is formally done in LLMs' response evaluation) such as: - Accuracy - Instruction following - Reasoning quality - Completeness - Clarity - Safety - Coding correctness - Hallucination risk b) To help optimize prompts, prompt engineering frameworks can be employed such as zero-shot prompting, few-shot prompting, chain-of-thought prompting. c) All errors in the model's responses can be segregated into different error types like Factual error, Reasoning error, Instruction failure, Formatting issue, Hallucination, Safety issue, Code bug, etc so that we can deeply analyse the performance so all the models and figure out their specific weaknesses.

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I need an AI-driven avatar that can step in as the interviewer during live mock sessions on my platform, handling every aspect of a technical interview in real time. The avatar should greet the candidate, ask relevant questions, probe deeper when answers are vague, and keep track of time just like a seasoned human interviewer. After each session it should deliver an immediate summary and a structured assessment of the candidate’s performance. The interviews will focus strictly on technical topics for now, so the underlying engine must be comfortable parsing and generating code questions and follow-ups in Python, JavaScript, and Java. I will supply the initial question bank plus evaluation rubrics; your role is to wire these into a conversational flow that feels natural and adaptive....

I need an AI integration for my LMS to enhance the learner experience by creating personalized learning paths. Requirements: - AI should analyze previous course performance and initial skill assessments to tailor learning paths. - Personalized paths should primarily include quizzes and tests. Ideal Skills and Experience: - Expertise in AI and machine learning - Experience with LMS platforms - Knowledge in educational technology and personalized learning - Strong analytical skills to interpret course performance data Looking for a solution that is efficient, scalable, and user-friendly.

We are building an AI-powered pre-sales automation platform to replace the manual workload of our engineering team across 15 ELV disciplines. The platform allows our engineers to upload a client RFQ (Bill of Quantities in Excel or PDF), and the system automatically produces a fully priced, formatted Excel quotation — with part number mapping, pricing calculations, BOQ validation, and an internal analysis sheet — in under 2 hours. This is Phase 1 of a 4-phase project. Phase 1 scope is the Quotation Engine only. **Phase 1 Scope (This Contract)** You will build a complete web application with the following: **Backend (Python FastAPI)** - File upload API: accepts Excel (.xlsx) and PDF client BOQ files - BOQ parser: extracts device descriptions and quantities from Excel and PDF...

I run a manufacturing operation that needs a web-based application powered by AI to keep our supply chain running at peak efficiency. The core objective is supply chain optimization—specifically, I want the system to learn from our historical and real-time data, flag bottlenecks before they appear, and recommend concrete actions my planners can take. Data the models must digest and correlate: • Inventory levels • Supplier performance metrics (on-time delivery, quality scores, lead-time variability) • Demand-forecasting inputs from sales and market signals Key workflow I have in mind: 1. Secure data ingestion from our existing ERP/MES via API or flat-file drops. 2. Automated preprocessing, feature engineering, and model training (Python, TensorFlow/PyTorch, or...

I’ve already built a working AI-powered commercial decision engine that lets business users ask natural-language questions and receive strategy-level answers. Now I want to take it to the next level for large enterprises. What I need: • Solid integration with complex internal databases so the engine can pull clean, reliable data on demand. • Expansion of the insight library to cover financial performance analysis, market-trend analysis, operational-efficiency insights, plus commercial strategy, operation and CRM perspectives. • Robust, enterprise-grade architecture (security, scalability, logging, role-based access) so the solution works inside Fortune-500-style environments. • Fine-tuning of the natural-language layer—ideally using modern LLMs or RAG...

For my in Robotics and AI, I need a full-fledged thesis that explores how artificial intelligence can enhance smart-city services and urban governance. The work must weave together a solid academic narrative with hands-on experimentation in Python, relying on TensorFlow as the main library for model development and analysis. Your writing should move from an up-to-date literature review into well-structured case studies and end with reproducible simulation results. Along the way, every algorithm needs to be spelled out twice—first as clear pseudocode, then as thoroughly commented Python code. I will use this codebase for live demonstrations, so it must run out of the box and produce the same figures and metrics you report in the thesis. Deliverables • Complete thesis documen...

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Over the next year I’ll be running a series of computer-vision initiatives that require solid, production-ready Python code. The work spans the full pipeline: cleaning and augmenting large-scale image datasets, architecting and training deep networks, then stress-testing their performance before deployment. Knowledge in quantum computing is an added advantage You’ll dive into convolutional and recurrent architectures for vision tasks—think hybrid CNN-RNN pipelines for sequence labelling—as well as exploratory projects where a GAN may generate synthetic images for data balancing and style transfer. Everything is image-based, so familiarity with libraries such as OpenCV for preprocessing and TensorFlow or PyTorch for model building is essential. What I need from you...

I’m building an AI-driven solution that keeps single-family homes healthy by spotting structural issues, plumbing problems, and electrical faults while the house is in everyday use. The goal is a system that can take inputs such as periodic smartphone photos, CCTV streams, or smart-sensor readings and flag likely defects in real time so owners receive clear, actionable alerts before small flaws turn into costly repairs. Here is what I need from you: • A trained model (or ensemble) able to classify and localise those three defect categories with high precision on typical residential imagery or sensor data. • A lightweight inference pipeline that can run on consumer-grade hardware or be exposed through a cloud API. • A simple web or mobile interface where a homeow...

I have a functioning machine-learning application with a solid core, yet bugs keep surfacing and the overall accuracy still falls short of what I need. My goal is to push every component of the model toward peak performance while stamping out recurring issues. Here’s what I need from you: • Audit the current codebase to identify logic flaws, data-handling mistakes, and any silent failures that degrade predictions. • Refine model architecture and hyper-parameters so we see a measurable boost in accuracy on our validation set. • Strengthen the training pipeline with better data preprocessing, feature engineering, and reproducibility practices. • Implement automated tests and robust error logging so new bugs are caught early. • Document the improvements...

I’m ready to bring an online trainer on board who can guide an intermediate audience through real-world applications of Machine Learning, Deep Learning, Natural Language Processing, and some domain-specific AI tool know-how. Sessions will be delivered live, so I need someone who is comfortable explaining concepts clearly, fielding questions on the spot, and showing hands-on demonstrations in popular frameworks (think Python, TensorFlow, PyTorch, scikit-learn, Hugging Face … whatever fits the topic). Because we’d like to launch the program as soon as possible, you should already have slide decks, notebooks, and practical examples you can adapt quickly. A short diagnostic chat with me will finalise the exact schedule, but plan for multiple interactive sessions, each follo...

I am looking for someone who understands: Python / Pandas / NumPy Financial time series Macro indicators Backtesting Portfolio performance metrics Optimization methods such as grid search, random search, or Optuna Walk-forward testing / avoiding overfitting Questions for Applicants Please answer: Have you built any Python financial backtest or quant research notebook before? Have you worked with FRED or macroeconomic data? How would you test different weights without overfitting? What Python libraries would you use? Can you share a relevant example of your previous work?

I need to turn historical patient-record data into a reliable model that predicts individual outcomes and flags high-risk cases early. The raw material is a sizeable set of anonymised electronic health records: demographics, vitals, lab results, admission notes, discharge summaries—typical structured tables mixed with a handful of free-text fields that have already been de-identified. Here is what I’m after: • A clean, reproducible pipeline in Python and SQL that pulls the records, handles missing values, encodes categorical variables, and outputs a model-ready dataset. • One or more predictive models built in scikit-learn (feel free to benchmark XGBoost or similar) together with well-explained feature importance. AUROC is the key metric; I’d like to see cr...

I have an anonymised set of internal company emails that must be routed automatically to the correct department—Human Resources, Finance or IT Support. I am looking for an engineer who can take the project from raw data through to a Docker-ised REST service. The workflow I expect is: • Data preparation: strip any residual PII, apply consistent labelling for the three target departments, and document the pipeline so it can be rerun when fresh mail arrives. • Modelling: start with a TF-IDF + SVM baseline, then fine-tune transformer models (BERT or RoBERTa via Hugging Face). Compare approaches and capture precision, recall and F1 for each class. An error analysis explaining common misclassifications is essential. • Deployment: package the best model behind a FastAPI...

Descripción de la Idea La idea consiste en crear una IA capaz de analizar continuamente la información del mercado bursátil y decidir de manera autónoma cuándo comprar y cuándo vender acciones. Para ello, la IA utilizaría datos como: Precios históricos de las acciones. Tendencias del mercado. Noticias económicas y empresariales. Indicadores financieros. Comportamiento de los inversores. Mediante algoritmos de aprendizaje automático, la IA mejoraría sus decisiones con el tiempo, aprendiendo de sus éxitos y errores. Objetivos Los principales objetivos del proyecto son: Maximizar los beneficios de las inversiones. Reducir el riesgo mediante análisis avanzados. Automatizar las operaciones bursátil...

I run a production Python pipeline that extracts structured data from complex technical PDF documents — detecting objects, tracing linear features, and measuring areas and regions — using a mix of vision LLMs and computer vision. It works and is deployed, but I need someone who can take real ownership and push accuracy, robustness, and cost in directions I can't get to fast enough on my own. The pipeline is staged: render the PDF, read the document's reference key to learn what to look for, detect every instance on each page with a spatial vision model, measure each one (OpenCV contour/skeleton tracing, with an LLM agent fallback), and hand off structured results. What I need help with: - Improving detection accuracy and recall on dense, messy,...

Mais detalhes: Which platforms will the Aviator predictor be used on? Mobile, Web What functionality do you need in the Aviator predictor? Real-time predictions, Historical data analysis How will the data be sourced for the Aviator predictor? Manual data input

Goal: Create a FULLY AUTOMATED process that takes a male audio file and converts it into a female voice. What you must do: 1) Take the male audio I provide 2) Convert it into a female voice 3) Upload the final audio into a Google Drive folder 4) Add the Google Drive link in your competition entry 5) Explain clearly what software/tools you will use 6) Explain clearly how you will automate the FULL process from start to finish Important: - The automation must run locally - The final voice must sound perfectly natural and human - The female voice must correctly reproduce the multiple emotions, tone and intonations from the original audio - The result must NOT sound robotic or AI-generated - The automation must be able to process multiple audio files - Do NOT clean the original audio more...

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...