Machine Learning (ML) Jobs

I’m putting together an urgent, insight-rich brief that compares and contrasts four tightly related fields: Artificial Intelligence & ML, Semiconductors & Microelectronics, Robotics & Automation, and the broader landscape of global tech industry trends. The goal is a single, well-structured document that gives executives and investors a clear view of who is leading, where the money is flowing, which technologies are maturing fastest and why these areas intersect. Here’s what the finished work needs to cover: • Current state-of-the-art and near-term roadmap for GenAI, LLMs, AI-specific hardware and enterprise AI adoption • Chip architecture evolutions, key foundry capacity shifts, GPU/NPU supply dynamics and the geopolitical pressures shaping the semicon...

Description: We are looking for knowledgeable CS professionals, recent graduates, or students to join our platform as subject experts on a flexible, part time basis. What you'll do: Help students learn CS topics and resolve academic doubts through short on demand sessions Optionally conduct technical mock interviews for students preparing for placements. Subjects needed: Python, Java, DSA, DBMS, AI/ML, CN, OS, Cloud Computing, Spring Boot, C++, OOPS — and any other CS subject you're strong in. Who can apply: Students, recent graduates, or working professionals Strong knowledge in at least one CS subject Good communication skills and ability to explain concepts clearly Reliable internet and a device with camera What you get: Flexible working hours — your time, ...

Cognizant NPN Hackathon – Looking for a Freelancer/Developer/Student We are participating in the Cognizant NPN Hackathon and are looking for someone who can help us build a working prototype within 5–6 days. Problem Statement Generate, populate, and review financial statement planning analytics, perform financial statement review (e.g., mathematical accuracy, prior year tie out, internal consistency, spelling and grammar, etc.) and WP-514 from financial statements. Domain: Banking Use Case: Financial Statement Analysis / Review We need help with: * Building the prototype/MVP * Implementing the financial statement analysis/review workflow * AI/LLM-based analysis where appropriate * Preparing the explanation/demo flow for the hackathon * Helping with the PPT/presentation a...

Develop an AI Memorial Companion App with Real-Time Animated Face, Voice Cloning, AI Conversation & Memory Project Description I am looking for an experienced AI/mobile app development team or highly skilled developer to build the first version of Aevomi, an AI-powered memorial companion application. The purpose of the app is to allow users to preserve memories of loved ones who have passed away and interact with an AI-generated animated digital representation of that person. This is not intended to be a traditional chatbot. The main experience should feel closer to having a face-to-face video conversation with a personalized AI representation of the loved one. Core User Experience A user should be able to create a memorial profile for a deceased family member, friend, mentor, or...

I need a coding expert to develop an automated grading system for written applications. The grading code should evaluate 5 criteria: - Problem specificity: How well-defined is the problem? - Solution uniqueness: Is the proposed solution well thought out and unique - what stage of development the application is (I.e how further along their journey they are) - if the target beneficiaries have been identified and how specific they are, secured funding, meeti ng investors? - High value and partnerships: Is the solution of holistic, well planned, destined for success? Already being recognised, high value? Ability to present their ideas well Ideal skills and experience: - Strong coding proficiency - Experience with grading or evaluation systems - Ability to implement criteria-based assessment

Hi, I’m working on my PhD project on **AI-based detection of patient–ventilator asynchrony (PVA) from ventilator waveforms**, and I’m looking for a Python/AI developer. The project will involve: 1. **Physics-based synthetic waveform generation** using lung-mechanics equations to generate realistic Paw, flow and volume signals, initially focusing on normal breathing and double triggering. 2. **Synthetic dataset creation** with waveform signals, images, labels and physiological parameters. 3. Addition of realistic **noise, artefacts and physiological variability**, followed by diffusion-based augmentation. 4. Development of AI models using **time-series and waveform images**, including Transformers, CNNs, Bi-LSTM and Swin Transformer. 5. **Multimodal fusion** of signal an...

**Job Title:** Computer Vision / Roboflow Expert – Fine-Tune Model for PPE & Kitchen Hygiene Violations **Project Description:** We are developing an AI-driven restaurant and kitchen safety monitoring system. We need an experienced Computer Vision & Deep Learning Engineer to build, annotate, and fine-tune a high-accuracy object detection/segmentation model (using Roboflow and YOLO models like YOLOv8/v11) to accurately detect specific hygiene violations in real-time CCTV feeds. **Key Challenges & Core Requirements:** 1. **Glove Compliance:** * Detect bare hands vs. gloved hands (handling fine-grained vision tasks on food prep surfaces). * Accurately flag "No Gloves" violations when staff are touching/preparing food. 2. **Proper Mask Wearing:** * Detect prope...

I have an academic assignment centred on supervised learning and I need clear, concept-driven help to complete it well. I will share the written brief, datasets (if any), and my own draft work; no university logins or personal credentials will be provided. Scope of support • Break down the assignment requirements in plain language, highlighting key supervised-learning ideas (e.g., model selection, loss functions, evaluation metrics). • Walk me through how to tackle each question, reinforcing the underlying theory so I fully grasp why each step matters. • Supply illustrative examples—concise notes, diagrams, or annotated snippets—so I can see the ideas in action without simply copying finished code. • Review the solutions I draft, point out misconceptions or...

I want to automate the entire flow of finding, rewriting, and posting breaking stories in my niche WordPress newsroom. The system needs to: • Continuously watch both Google News and selected RSS feeds for fresh headlines that match a keyword list I will supply. • Pull the full-text of each candidate story, strip boilerplate, and hand it to an LLM (GPT-4o, Claude, or similar) to rewrite with a clear, human editorial touch—no robotic phrasing, no plagiarism. • Automatically add an introductory line that credits the original outlet before the body copy begins. • Push the finished piece to WordPress through the REST API, setting the post to Draft or Publish based on a simple flag in the configuration. Ideal workflow: lightweight Python (or Node) microservice...

Project Overview: I am looking for a freelancer to develop a Heart Disease Prediction Analysis project using Python and Machine Learning. Requirements: Perform data cleaning and preprocessing Handle missing values and duplicates Perform Exploratory Data Analysis (EDA) Create meaningful visualizations using Matplotlib and Seaborn Analyze correlations and important features Build and compare at least 3 classification models: Logistic Regression Decision Tree Random Forest Evaluate models using: Accuracy Precision Recall F1-Score Confusion Matrix ROC-AUC Include a sample prediction using the best-performing model Provide a clear final conclusion and model comparison Deliverables: Complete Jupyter Notebook (.ipynb) Clean and commented Python code EDA visualizations Machine learning models...

I need a lightweight, secure application that can listen to both sides of my life-insurance sales calls, transcribe them in real time, and drop only the relevant facts into a structured worksheet on-screen. While the caller is still speaking, the system should automatically recognise and populate fields such as full name, date of birth, address, phone number, current medications and medical conditions. Key behaviour • Ignore small talk and fillers; capture only what belongs on the application. • If the caller corrects a detail (“actually, my phone is 555-0199”), the field must update instantly. • Anything that sounds uncertain—uncommon drug names, hard-to-spell surnames, email addresses, partial street names—should be highlighted or flagged s...

I’m running a systematic investigation into how prompt phrasing influences in-context regression performance. The work spans six separate axes, and for this engagement I want you to concentrate on two of them—Data preprocessing and Evaluation metrics—while keeping the other axes in mind so our findings remain extensible. The core set-up centres on text-based prompts only; no visual or multimodal inputs will appear in this round. All experiments will target polynomial regression tasks, so the prompts, data splits, and metric choices should reflect the non-linear nature of the underlying relationships. Here is what I need from you: • Curate or generate a clean, well-documented dataset suitable for polynomial regression, then outline the preprocessing steps you apply...

I manage a fast-moving quantitative fund and I’m expanding the team on two fronts: deep fundamental research and purpose-built trading technology. RESEARCH ANALYSIS Your core mission is digging into papers and reports—academic studies, sell-side notes, 10-Ks, industry white papers—and pulling out the insights that move markets. I lean heavily on options and futures, so I’ll look to you to translate those findings into structured spread ideas, monitor relevant news flows, and keep a tight watch on sector-level fundamentals. Speed matters, but rigor matters more. This role requires daily updates and reports. SOFTWARE ENGINEERING In parallel, I need an algorithmic trading stack that can ingest live market data, run ML-driven models, execute orders, and log performanc...

I need a skilled Python developer to develop a professional Python-based project. The project should have clean, well-structured, and maintainable code. I need help with development, debugging, testing, and deployment. Experience with Python, automation, data analysis, APIs, and AI/ML would be preferred. Please provide a clear project timeline, milestones, and estimated cost.

We need a developer who already has a working ESG / Sustainability Reporting platform that can be customized and delivered as a complete multi-tenant SaaS solution. MANDATORY: You must provide a walkthrough video or live demo credentials of your existing platform in the bid. Bids without this will be eliminated. Required Features Email + OTP login Multi-entity structure (Company, Entities, Branches, Regions) Stakeholders management + Survey tool Materiality assessment Metrics/KPIs management (assign to entities, enable/disable) Data collection with evidence upload and approval workflow Customizable dashboards with filters, ESG scores, SDG alignment, and performance tracking Multi-framework reporting (GRI, ISSB, SASB, TCFD, GHG Protocol) Settings: branding (logo & colors), ESG weight...

I am looking for a mentor with one or more of the following qualifications: MCA (Master of Computer Applications) M.Sc. in Computer Science / Information Technology in Computer Science / Information Technology / Cyber Security / AI / Related Field Ph.D. in Computer Science / Information Technology / Cyber Security / AI / Related Field Preferred Experience The ideal mentor should have: Experience guiding MCA, , or final-year projects. Knowledge Required: Cyber Security Artificial Intelligence / Machine Learning Computer Networks Experience in project architecture, software development, documentation, and technical mentoring. Ability to review code, explain concepts, and provide constructive feedback rather than simply completing the project. What I'm Looking For Long-term mentors...

We need an AI-focused application that delivers 100% functionality in analyzing 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. 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. Experienced f...

Here’s what I need built: • A predictive-pricing engine that ingests lot attributes (grade, shelf-life, volume, historical demand) and recommends starting prices in real time. • An automated-bidding module so buyers can set ceilings and let the system compete for them. • A fraud-detection layer that flags suspicious listings or bidding patterns before a transaction closes. Everything must sit behind a clean, minimal interface—no clutter—because both food and pharmaceutical professionals will be using it every day under time pressure. I’m open on stack, but Python with TensorFlow/PyTorch for the models and a lightweight React or Vue front end makes sense; CUDA optimisation is a plus for the Inception pitch. Acceptance criteria for the MVP: 1. End...

I have a private collection of images that I want to sort automatically, and I need your expertise to build and fine-tune an image-classification pipeline. The dataset is purely visual—no accompanying text or numerical metadata—so the focus is on extracting meaningful visual features and assigning each image to the correct category. My end goal is straightforward: a reliable model that can classify every new photo I add, with clear metrics that show its accuracy. I haven’t fixed the exact number of categories yet; we can review the sample set together and decide what makes sense. You are free to work in Python with libraries such as TensorFlow, Keras or PyTorch, and any supportive tools for preprocessing, augmentation, and evaluation. I’ll share the image folder...

I’ve shared three LinkedIn article links above. Each one is a text-based piece that I’d like distilled into clear, concise takeaways I can absorb at a glance. Here’s what I need from you: • A standalone summary for each individual article, capped at roughly 150–200 words. • Bullet highlights of the three to five most critical insights or action steps pulled directly from the source. • Accurate wording—please keep any quoted phrases verbatim and note them with quotation marks. The summaries should read smoothly, avoid filler, and preserve the original intent and nuance of the authors. No rewriting or opinionating is required; the job is strictly to surface the core ideas so I can decide quickly how (or whether) to dive deeper into the f...

Senior AI/ML + Distributed Systems Engineer Required (Backend Enterprise Build – £10,000 Fixed Price) Project: AI Financial Intelligence & Risk Monitoring Platform (Backend) We are hiring a highly experienced engineer or engineering team to architect, build, deploy, and operationalize the production-grade backend for an AI Financial Intelligence & Risk Monitoring Platform. This is not a prototype. This is not a simulation. This must be a fully scalable, real-time, enterprise-grade backend system capable of operating under production conditions. ⸻ Project Overview The backend platform must: * Process high-volume financial data streams in real time * Detect anomalies using AI-driven models (not rule-based systems) * Generate actionable risk intelligence via API * ...

I want to build a small AI-driven agent that concentrates purely on weather predictions, with rainfall and precipitation as its only inputs, so I can decide exactly when to harvest. Here is what I need the system to do for me: • Pull historical and real-time rainfall data from reliable public APIs (NOAA, Meteostat, or a source you recommend). • Train a lightweight model in Python—TensorFlow, PyTorch, or an equally proven library—that forecasts field-level precipitation a few days ahead. • Convert the raw forecast into a simple recommendation: safe-to-harvest, harvest-soon, or delay. • Present that recommendation in a clear format. A small web dashboard is ideal, but a command-line script with a clean JSON output is acceptable if it speeds things u...

I’m looking for a research-minded AI team that can turn my existing dataset of artist profiles and historical matches into a robust system that automatically pairs creatives with fresh opportunities posted online. The core of the work is experimental: I want to see how far large-language-model families such as Claude, Gemini and Grok can be pushed for nuanced profile-to-opportunity matching. That means going beyond simple keyword overlap and exploring richer text analysis, conversational reasoning and any clever prompt-engineering or fine-tuning tricks you can bring to the table. You’ll start with several thousand annotated examples I already have. From there, I’d like you to design an approach, build a proof-of-concept pipeline, and iterate until we can clearly dem...

I need an experienced AI/ML engineer to design, train, and validate a predictive model in Python. All of my data lives in CSV / Excel files, so the first step will be cleaning, transforming, and loading those structured datasets into an efficient pipeline. From there you’ll choose the most appropriate algorithms, iterate on feature engineering, and fine-tune the model until we reach an agreed-upon accuracy threshold. You should be fully comfortable with scikit-learn and pandas for data handling, and able to switch to TensorFlow or PyTorch if deep learning ends up adding value. Packaging the final model behind a lightweight API or another deployable artifact—so it can slot into our existing workflow—will be part of the scope. Deliverables: • Reproducible Python code...

HealthGuard AI – Developed an AI-powered remote patient monitoring platform with patient/doctor portals, real-time health-vitals monitoring, clinical risk scoring, automated alerts, and secure healthcare data management. AI Interview Simulator – Built an AI-based interview practice platform that simulates real interview sessions, evaluates candidate responses, and provides intelligent feedback to help users improve their interview performance. EcoByte – Smart Food Waste Monitor – Developed a smart food-waste monitoring solution that helps track food waste, analyze waste patterns, and provide insights for reducing unnecessary food wastage. Retail Sales Analytics – Created an analytics solution for analyzing retail sales data, identifying sales trends, evaluatin...

I need a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learning: the main task is to build, train, and validate a solution that can correctly place each incoming image into its predefined category with solid, measurable accuracy. Here is how I see the work unfolding: • Prepare and clean the image dataset, applying sensible augmentation so the network generalises well. • Select or design a CNN architecture (transfer-learning with ResNet, EfficientNet, or a custom model—whichever you believe will perform best) and implement it in Python using TensorFlow or PyTorch. • Train, tune hyper-parameters, and track performance with clear metrics; I want the training notebo...

We are looking for freelancers to contribute to a large and diverse facial image dataset that will support machine learning research and facial recognition model training. The project focuses on collecting high-quality facial images that represent real-world variations in identity, head poses, appearance, and age progression. Each freelancer will complete four image collection tasks, including front-facing neutral captures, controlled head-pose images, and historical facial images showing natural changes over time. Freelancers are required to submit up to 28 approved images, with a minimum of 11 valid images needed for an approved and billable submission. Images must be authentic, high quality, and reflect natural variations in clothing, hairstyle, lighting, background, facial angles, a...

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...

Necesito que desarrolles desde cero un sistema exclusivo de señales para opciones binarias. No deseo ejecución automática; únicamente quiero que la plataforma analice el mercado, filtre las oportunidades y envíe alertas directas a mi canal de Telegram. Alcance funcional • Análisis técnico: el núcleo del sistema debe basarse en indicadores de tendencia, patrones de velas y osciladores. • Inteligencia artificial: un módulo de IA debe descartar señales de baja calidad y priorizar las de mayor probabilidad. • Backtesting y estadísticas: necesito un panel que muestre resultados históricos verificables y métricas de rendimiento en tiempo real. • Integración fluida con mi fluj...

AI Trading Engineer / Algorithmic Trading Developer for Automated Financial Markets System I am looking for a highly experienced developer and potentially a long-term technical partner to help me build and continuously improve an AI-powered automated trading system for financial markets. The system should be designed to analyze and trade different financial markets, including stocks, commodities, indices, Forex and potentially other asset classes. Silver (XAG/USD) is one of the markets I am particularly interested in, but it is not limited to silver. The goal is to turn my own trading ideas and strategies into a professional, scalable and automated system that can analyze market data, identify potential opportunities, manage risk and, after extensive testing, potentially execute trades aut...