Machine Learning (ML) Jobs

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 have a large-language model trained for the education sector, yet its answers still fall short of the accuracy teachers and students expect. Your assignment is to craft and execute a fine-tuning strategy that raises factual correctness and reduces hallucinations while keeping existing speed intact. You will receive: • The current checkpoint of the model. • A domain-specific corpus of lesson plans, quizzes and annotated Q&A pairs. • A held-out validation set mirroring real classroom queries. Deliverables • A fine-tuned model ready for deployment. • Reproducible training scripts, config files and a concise hand-off guide. • A report comparing pre- vs post-tuning accuracy with clearly stated metrics. Acceptance criteria • Measura...

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.

I have a working Nifty 50 analyzer (Python/FastAPI, vanilla JS, Kite Connect), live on a Linux VPS. I need an experienced developer to add a professional, prop-desk-style AI analyst on top of it. Core deliverable: AI analyst engine OI analysis: option chain OI and change in OI, long/short buildup and unwinding, PCR, max pain, support/resistance from OI walls, and strike-wise OI-inflow heatmap bars in the option chain. CVD / order flow: cumulative volume delta and delta divergence on Nifty futures, built from Kite tick/depth data (index has no real volume), with session and rolling views. Technical analysis: multi-timeframe trend, VWAP, key levels, market structure, and volatility regime (IV/ATR). News integration: a news API feed (TrueData or similar), tagged by impact and sentiment, feedi...

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...

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...

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 NEED SOME HELP. I need a piece of software created I know nothing of that world, for an idea I have, I can describe what I need Art PROJECT CONCEPT I want to create an interactive digital portrait displayed on a screen, like a framed piece of artwork. The idea is to create a continuously evolving "average human face." A person stands in front of the artwork. A camera captures their face and the software analyses it. Their facial characteristics are then incorporated into the existing average. The portrait displayed on the screen changes gradually as more people interact with it. How I imagine it working A camera is positioned above or beside the digital display. A person stands in front of it and looks at the screen. The software detects and analyses their face. The person...

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 goal is to deliver a complete AI-driven robotics solution that automates a clearly defined task while simultaneously boosting decision-making quality and overall efficiency. My emphasis is on three tightly linked capabilities: reliable navigation and mapping (SLAM on a mobile base), precise object manipulation (pick-and-place with force feedback), and natural human-robot interaction (simple voice or touch-screen prompts that adapt to context). I am lookng for AI specialist partners who can assist me with european based projects who are maybe in asia or americas. Core expectations • A ROS-compatible navigation stack that builds and updates maps in real time and feeds an expert-system layer for path selection. • A manipulation pipeline using MoveIt! or a comparable planne...

I’m building a production-grade computer-vision pipeline that can seamlessly switch between object detection, facial recognition, and general image classification. The model must accurately identify people, vehicles, and animals in real time, whether the camera is mounted indoors or facing unpredictable outdoor lighting and weather. I am lookng for AI specialist partners who can assist me with european based projects who are maybe in asia or americas. Here’s what I’m after: a fully trained, well-documented solution that I can deploy at scale—think edge devices for low-latency alerts as well as a cloud endpoint for heavier batch analysis. I’m comfortable with mainstream frameworks such as PyTorch or TensorFlow, but I’m open to whatever stack you feel d...

This project centres on building an end-to-end Natural Language Processing system that handles three distinct tasks: text generation, sentiment analysis, and named entity recognition. The solution should be production-ready, modular, and easy to extend, making use of well-maintained Python libraries such as Hugging Face Transformers, PyTorch or TensorFlow, and standard preprocessing tools (spaCy, NLTK, or similar). A typical workflow might involve fine-tuning large language models for generation, training lightweight classifiers for sentiment detection, and integrating an entity recognition component that supports custom taxonomies. Clean code, reproducible experiments, and clear documentation are essential so that future contributors can retrain or swap models as data evolves. I am look...

I am putting together a single, end-to-end machine-learning pipeline that can ingest three kinds of data—text, numbers, and images—and turn them into actionable insight. The heart of the project is a blend of data analysis, prediction/forecasting, and natural language processing. I am lookng for AI specialist partners who can assist me with european based projects who are maybe in asia or americas. For text I will supply customer reviews, social-media posts, and scientific articles. I want sentiment and topic extraction from the reviews and posts, and key-concept summarisation for the articles. On the numerical side I have time-series and tabular metrics that need feature engineering followed by forecasting. Finally, the image component involves basic classification and the o...

I currently rely on an external data-entry service to key information from paper documents into our system. This manual data collection is slow, expensive, and invites errors, so I want to replace it with an automated workflow that captures the data directly from the scanned pages and delivers it in a clean, structured format. Here is what I need: you will design and implement a solution that takes batches of scanned paper documents, extracts the required fields accurately, and outputs them as CSV or JSON ready for import. Optical Character Recognition, intelligent form parsing, and a light validation layer are likely parts of the stack, but I am open to your suggestions on tools and frameworks so long as they reduce keystrokes to near zero. For acceptance, I will look for: • A 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...

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...