머신 러닝 (ML) Jobs

Masaüstünde çalışacak, yapay zekâ destekli bir RAG (Retrieval-Augmented Generation) uygulamasının ilk sürümünü hayata geçirmek istiyorum. Uygulamanın ana gövdesi Python veya C# gibi yaygın dillere, arka planda ise OpenAI API’ları ve benzeri büyük dil modeli kütüphanelerine dayanabilir. Temel gereksinimler • Kullanıcı kaydı ve girişi: Basit bir kimlik doğrulama akışı (e-posta + şifre) ve temel profil yönetimi yeterli. • Veri analitiği: Uygulama içinde yapılan sorguları, kullanım istatistiklerini ve yanıt kalitesini izleyebileceğim sade bir gösterge paneli. Beklediğim çıktı 1. Çalışır masaüstü uygulaması (Windows öncelikli). 2. Kaynak kodu + ...

I need an experienced Python-side performance specialist to push a sluggish, newly built application to acceptable speeds. The code currently trawls through 2.5 billion rows spread over 50 databases and roughly 250 tables; about half of those rows are duplicates that have crept in during successive imports. Even on a 32 GB RAM / 2 TB SSD machine the application stalls during data retrieval, heavy processing and, by extension, the user interface. Because we query and update the data once every day, I must have an optimisation that keeps daily runs well within our limited maintenance window. You will connect over TeamViewer, AnyDesk or UltraViewer (whichever is most convenient) and work within a tight budget that has already absorbed most of the development cost. Preference goes to Indian p...

I want to run an open-source Chinese LLM—most likely Qwen, Deepseek, or Kimi—entirely under my own roof for document analysis, document preparation, and workflow management. My main priority is the hardware side: advising me on whether to buy a single GPU for the long haul, rent a cloud GPU, or start with a more modest card and upgrade later. All three options are on the table, so I need a clear comparison of cost, VRAM requirements, and expected performance. Once the hardware decision is made, I’ll need hands-on help getting the chosen model installed, optimised, and benchmarked on that setup. That includes configuring the runtime, loading the model weights, and confirming that everything runs smoothly on my local network. After it works, please walk me through everyd...

I need a license-plate recognition engine that can reliably read Qatar, UAE, and Saudi Arabia plates when they appear in either still images or live video streams. High accuracy is non-negotiable—I am targeting production-level performance suitable for enforcement and analytics, so false positives must be minimal and confidence scores exposed. To succeed you will design, train, and package a full ANPR pipeline that: • detects the plate region in diverse lighting and angles, • recognises Arabic and Latin characters as well as the specific colour codes and icons used across the three countries, and • delivers results fast enough for real-time video (traffic-camera frame rates) while also accepting batch image inputs. Please outline your preferred tech stack (Open...

For my portfolio, I want to develop a complete Python data-science walkthrough based on a public healthcare dataset. The work should start with careful data cleaning (handling missing values, outliers, type conversions) and move through exploratory analysis before arriving at polished visual insights created with pandas, NumPy and Matplotlib. After the EDA, I would like you to implement at least one simple machine-learning model that suits the data—classification, regression or clustering—so feel free to choose whichever fits best once you have explored the variables and target. Please keep the modelling lightweight and well-commented so another student can easily follow the logic. Deliverables • Jupyter notebook (.ipynb) containing all code, visualisations and nar...

I need a detailed report, 25-50 pages, on detecting anomalies in agentic systems with multiple interacting LLMs, and how to find the root cause in agentic systems. This direction is about "agentic operations" in Detecting Malicious Webpage. First step is to identify the most recent relevant papers and summarize the benchmarks and baselines used in them. Benchmarks are the datasets/tasks and evaluation metrics used for experiments and baselines are the existing methods that we could compare against.

We need an Al-focused application that delivers 100% functionality in analysing and solving geometric patterns in jewellery. The primary objective is to ensure precision and reliable output. The features include: 1. Detecting patterns across different jewellery parts such as any parts of boundaries, textures, cuts, or design elements (including broad patterns, sub-patterns, and intricate sub-to-sub patterns). 2. Identifying low-quality or unclear components within these patterns and seamlessly replacing them with high-quality elements from other sources or jewels. 3. Ensuring replacements naturally blend into the overall piece, maintaining structural integrity and visual coherence. The focus is entirely on achieving accurate functionality with results that meet expectations directly. Exp...

We are building AI camera vision solution for face attendance,Footfall,Hygiene check,Mobile Usage,Face mask and behaviour patter(Standing/Walking/Sitting/Idle)

I maintain an open-source repository called “sesame-ai-in-finance,” a curated collection of Deep Reinforcement Learning and broader AI resources for trading and quantitative finance. The current README does the job, but its introduction and high-level overview feel dated and don’t capture the project’s recent growth. I need those two sections rewritten so that a first-time visitor immediately understands: • the purpose and scope of the list • what sets it apart from other AI-in-finance collections • how the content is organised (main categories, Chinese mirror, media assets, contribution flow) • who should use it—researchers, quants, hobbyists, students—and why Keep everything in one Markdown file, preserving existing badges,...

I need a set of well-researched, technically accurate articles that dive into Artificial Intelligence within the broader Software & IT space. Each piece should explain complex concepts—think neural network architectures, model training workflows, real-world deployment challenges, or recent breakthroughs—in clear, engaging language aimed at developers and tech-savvy readers who already understand the basics. You’ll handle topic refinement with me, conduct authoritative research, and structure the content so it balances theory with practical examples or brief code snippets where useful. Proper citation of academic papers, industry white-papers, and reputable blogs is essential; I want readers to trust every claim they see. Deliverables will include: • Finished ar...

Senior Software Engineer – AI Model Output Evaluation & Labeling We need a Senior Software Engineer to support our client's AI model labeling work. You'll evaluate AI model outputs and write clear rationales for each evaluation. You will work remotely on the client's computer via VM. Requirements: - Senior Software Engineer (5+ years preferred) - Native-level English writing skills (critical — rationales must be precise and grammatically flawless) - Comfortable working in a remote VM environment - Strong attention to detail and ability to follow guidelines - Preferred: Based in the Philippines - Prior AI/ML labeling or model evaluation experience is a plus Details: - Rate: $10/hr - Type: Ongoing contract - Location: Remote (VM access provided) - Start: Im...

I have a fully-labeled dataset containing vehicles and their licence plates and now need it to power a production-ready object-detection model. I’m flexible on the backbone—you can work with YOLO, SSD, Faster R-CNN or whichever modern architecture you feel will squeeze out the best accuracy—but the end result must reliably spot both the vehicle and the plate in a single pass. What I will provide • Training, validation and test splits already annotated in COCO-style JSON • A small script that shows the folder layout I use for images and labels What I expect back • The fine-tuned weights • All training and evaluation scripts (Python preferred; PyTorch or TensorFlow are both fine) • A quick-start readme so I can reproduce your results o...

I need to fine-tune an existing computer-vision model for object detection so it performs reliably on my custom dataset. The base architecture is already selected; the task now is to prepare the data, set up transfer-learning, run hyper-parameter sweeps, and deliver a set of weights that reach an agreed-upon mAP on a held-out validation split. You may use PyTorch, TensorFlow, or another mainstream framework as long as the final model can be exported to ONNX. Please share examples of past work where you have successfully fine-tuned or trained object-detection networks—links to repos, papers, or short demos are ideal. Once we decide on the starting checkpoint and training environment, I’ll supply labeled images, class definitions, and any additional annotations you need. Delive...

Saya mahu membangunkan sebuah AI ringkas yang boleh menjana imej kartun bergaya anime secara automatik. Fokus saya hanya pada gaya anime; gaya lain tidak diperlukan pada peringkat ini. Skop kerja: • Sediakan prototaip model yang, apabila diberi arahan ringkas (contohnya teks atau lakaran asas), mengeluarkan imej kartun anime berkualiti tinggi. • Gunakan mana-mana rangka kerja popular seperti Stable Diffusion, GAN, atau pilihan setara—saya terbuka selagi hasilnya konsisten. • Sertakan skrip latihan, set data contoh, dan panduan langkah demi langkah untuk menjalankan model sama ada secara tempatan atau di awan. • Hasilkan beberapa imej contoh bagi membuktikan model berfungsi. Format fail akhir boleh PNG atau JPEG; pilih yang paling sesuai dengan alir kerj...

I have a collection of numerical datasets and I’d like a well-structured Python workflow that lets me explore, clean, visualise and extract clear insights from them. The scope covers everything from loading raw files through to producing a set of summary statistics, meaningful charts and a concise write-up of the findings. Quality matters more to me than speed, so feel free to propose thoughtful approaches—whether it’s a classic pandas / NumPy pipeline, more advanced SciPy techniques or even light machine-learning models if they add value. I’ll supply the data and clarify any domain specifics once we start. Deliverables I expect: • Fully commented Python code (Jupyter Notebook or .py) • Cleaned dataset ready for future work • Visualisation...

I need a DistilBERT-based text-classification model that not only reaches strong accuracy but can also run smoothly on memory-limited edge hardware. You will help me build the entire pipeline: first by working with me to assemble and label a solid training corpus, then by fine-tuning DistilBERT on that data. After training, I want the network aggressively compressed—quantisation down to INT8, pruning where it makes sense, and any additional knowledge-distillation tricks you feel will preserve accuracy. The compact model must export cleanly to a deployment-friendly format (ONNX is my first choice, though TensorFlow Lite or TorchScript are fine if they give better performance). Before and after optimisation, benchmark accuracy, size on disk, inference latency and peak RAM so we c...

I’m opening a remote fellowship at for inquisitive minds who want to push the frontier of Artificial Intelligence through truly exploratory research. The programme is research-and-development first, so there is no pressure to ship a commercial product; instead, you will be encouraged to formulate your own questions, test bold hypotheses, and document everything openly. You should already be comfortable reading recent AI literature, writing reproducible code (Python, PyTorch, JAX—use what feels right), and explaining complex ideas clearly. During the fellowship we will meet weekly to refine research directions, share findings, and make sure the work stays original and rigorous. Acceptance criteria & key deliverables • A one-page research proposal with clear questio...

I’m planning a comprehensive set of advanced-level video lectures that will walk learners through deep learning techniques, natural language processing, and reinforcement learning. Every lesson must feel like a polished conference talk: clear theory explanations, live Python coding in Jupyter or a similar environment, and crisp screen-plus-voice capture with unobtrusive on-screen graphics. What I need from you • A cohesive syllabus that sequences the three focus areas logically and flags any prerequisite knowledge. • Slide decks, notebooks, datasets, and any supplementary reading you reference, all organised by module. • Studio-quality recordings—clean audio, 1080p video, readable code font, and smooth editing that blends slides, code walkthroughs, and tal...

I want to sit down in Pune for a detailed, face-to-face session and map out an AI-driven B2B lead-generation engine geared toward the construction ecosystem. The core objective is to spot brand-new or still-rising projects and know exactly which stage of construction they are in so I can reach the right people before my competitors do. Geography in scope: Pune, PCMC and the larger Maharashtra market. Decision-maker focus: builders and developers, civil contractors and purchase / procurement heads. What I need built is more than a list of phone numbers. I’m imagining a system that: • Continuously mines public and paid data sources, portals, RERA filings, satellite imagery or any reliable feed an ML model can consume to flag fresh projects and update their progress stage. &...

Project Title Machine Learning Engineer to Build and Train Custom Python LLM for Project Description We run , an AI-powered stock research and screening platform. We want to move away from commercial APIs (like OpenAI or Anthropic) and build, fine-tune, and deploy our own custom Large Language Model (LLM). We are looking for an experienced Machine Learning / Deep Learning Engineer to build a Python-based pipeline that trains a custom open-source model to auto-generate structured, accurate financial stock summaries. 1. Scope of Work (What We Need Done) • Model Selection & Architecture: Help us select the best open-source base model (e.g., Llama 3, Mistral, Phi-3, or a financial variant like FinGPT) to host and train locally or on our cloud infrastructure. • Dataset Preparatio...

I’m looking to purchase or license completed software projects that I can use for internal research and AI / ML model training. If your code is already sitting in a private repository on GitHub, GitLab, or Bitbucket and you’re ready to monetize it, let’s talk. Here’s what I need to see before we move forward: • At least one repository with 5,000+ lines of code (multiple-repo projects are fine). • A development history that spans at least 5–6 months with roughly 100–200 commits or merged PRs. • A clear README or other basic documentation so my team can understand setup, architecture, and usage. • Temporary access to the private repo for technical verification—feel free to strip any API keys or sensitive credentials first. If th...

NOTE-1: If earning money is your main objective, please don't bid. NOTE-2: Applicants focusing solely on "Thesis Writing" or similar services will not be considered at all. Seeking an established STEM researcher for long-term collaboration. 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-up publications.

Job Post Title: Python / Automation Expert Needed for Pocket FM-Style Multi-Voice TTS Audiobook Bot (Dialogue Aware) Job Description: Hi, I run a novel-publishing platform and create high-volume audiobooks daily. I am looking for an expert Python developer to build a dedicated Text-to-Speech (TTS) Automation, Translation & Content Editing Tool. Since I process large files daily, I need a robust, permanent solution. If you cannot deliver the core features within a free/stable architecture without crashing, please do not bid. Core Project Requirements (Triple Input Mode): 1. Multi-Functional Modes: * Mode A (Full Audiobook Pipeline): The bot takes an English TXT file, translates it to Hindi, applies Pocket FM-style localization, and exports to a Multi-Voice MP3. * Mode B (Dire...

I’m preparing a postgraduate research paper in Computer Vision based on an existing university Capstone project titled “A Vision-Based Sleep Posture Recognition System.” I will provide the original project, university assessment requirements, formatting template, and supporting materials. I need a highly experienced academic researcher, not a general content writer. The work requires a rigorous literature review, critical analysis of the existing project and its results, and high-quality academic writing and editing suitable for a conference-style paper. All references must be genuine, verifiable, peer-reviewed academic sources, preferably recent IEEE, Elsevier, Springer, or reputable conference/journal publications, with proper IEEE referencing. Requirements: • S...

I have a dataset stored in one or more Excel sheets and need a complete machine-learning workflow in Python that turns those raw rows into an accurate classification model. Your job is to read the file(s), clean and prepare the data, pick a suitable algorithm, train, validate, and hand back code I can rerun on my own machine. Please work in a Jupyter Notebook or a well-commented .py script, using familiar libraries such as pandas, scikit-learn, NumPy and matplotlib/seaborn for any quick visual checks. At the end I want to see performance metrics (accuracy, precision-recall, confusion matrix or similar) so I understand how well the model is behaving. If feature engineering or hyper-parameter tuning will noticeably improve results, feel free to add it and note the changes. Deliverables...

# Local AI Development Platform – Project Description ## 1. Project Goal I want to build a powerful, locally operated AI development and system administration platform running on my own Linux computer. This is not intended to be just a local LLM, chatbot, or basic OpenClaw installation. The goal is a modular AI-agent system capable of researching, programming, developing WordPress solutions, operating computers, managing remote servers, and continuously expanding its knowledge. The primary use case is professional **WordPress and Gutenberg development**. ## 2. Hardware The system will run on an **Elite ER937 AI Silent Cooling Mini PC** with: - Linux - AMD Ryzen 9 processor - 32 GB RAM The architecture should be optimized for this hardware. If RAM, storage, GPU/NPU, or other u...

Freelance Bidder & Portfolio Manager Needed I’m looking for someone who can help me find relevant projects on Freelancer.com, write targeted proposals, and manage/improve my existing portfolio. The Freelancer.com account is new, so there is no previous client history or completed projects on the account yet. The goal is to build the profile gradually by finding genuine projects that match my actual skills and getting the first few successful clients. Main areas: * AI & Data Science * Python * Machine Learning / Deep Learning * AI Automation * Chatbots * Computer Vision * Web Development * Graphic Design What I need: * Find relevant projects * Write customized proposals * Avoid wasting bids on irrelevant projects * Track bids and client responses * Help organize and prese...

I need help moving both structured and unstructured data, under 1 TB, along with existing Python code from Railway Cloud to Databricks. Also, I would need assistance with re-deploying in the DBX environment. Key Requirements: - Experience with Databricks and Railway Cloud - Proficiency in Python - Familiarity with both structured and unstructured data handling The ideal freelancer would have a strong background in cloud data migration and be able to ensure a smooth transition without data loss or downtime.

I’m looking for an experienced independent AI engineer to review and improve an existing Python document-analysis and decision-support prototype. It processes PDFs containing text, tables, diagrams and measurements, retrieves relevant source material, and produces structured recommendations with supporting citations. The core implementation is already in place: - PDF text and image extraction, with a local searchable document index. - Adaptive retrieval and source citations. - Model integration, caching and bounded workflow steps. - Output validation, safeguards and human-review fallback behavior. - Detailed traces, replay tools, automated checks and live-model experiments. My current internal readiness estimate is approximately 70/100, with a target of 90–95/100 supported by...

Project Overview We are looking for an experienced AI/ML developer to help us build a private, locally hosted Large Language Model (LLM) for our project. The goal is a secure, on-premise AI solution that runs entirely on our own server, with no reliance on external cloud AI services, so our data stays fully within our control. You will work closely with our internal IT team from the planning stage through deployment. Scope of Work Phase 1: Discovery & Brainstorming Collaborate with our IT team to understand our current infrastructure, data sources, and business needs. Recommend the best architecture, model choice (e.g., Llama, Mistral, Qwen), and approach (RAG, fine-tuning, or a combination). Phase 2: SQL Data Room Development Design and build a structured SQL data room that pulls...

# Introduction to Artificial Intelligence ## 1. What is AI? Artificial Intelligence (AI) is a branch of computer science that focuses on creating systems capable of performing tasks that normally require human intelligence. It includes areas like machine learning, deep learning, natural language processing and robotics. ## 2. Applications of AI • Healthcare – disease prediction, medical imaging • Education – personalized learning, smart tutoring • Transportation – self-driving cars, traffic control • Banking – fraud detection, customer support • Robotics – industrial automation, smart robots ## 3. Benefits of AI • Automates repetitive tasks • Analyzes large amounts of data • Improves decision making • Increase...

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...