Обучение и обслуживание AI

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@alizain721

Ключевой риск в вашем проекте — если мульти‑modal пайплайны и инкрементальное обучение не поставить как бизнес‑процессы с самого начала, то автоматизация рутинных задач (обработка текстов, изображений и табличных данных, генерация маркетинга и отчётов по проектам) быстро деградирует в набор разрозненных скриптов. Я предлагаю выстроить решение как повторно используемый конвейер данных + модельный слой и MLOps вокруг него, чтобы ваш AI‑модуль работал устойчиво и масштабировался на новые кейсы. Подход - Совместно уточним бизнес‑процессы и KPI (скорость обработки, точность классификации, SLA по отчётам). - Архитектура: отдельные эмбеддинги/предобработки для NLP, CV и табличной аналитики, унифицированный metadata layer, инкрементальные пайплайны ETL и данные для retrain. - Модели: дообучение на ваших данных (предпочтение PyTorch для гибкости; TensorFlow по согласованию). Контейнеризация Docker, развёртывание в Kubernetes, API и простая UI‑панель для менеджеров. - MLOps: мониторинг метрик, алерты, регулярные retrain‑циклы и быстрые hotfix‑процедуры. - Документация и регламент обслуживания. Портфолио Проект Practice Tool AI (English Speaking Coach) похож по архитектуре: поток данных аудио→транскрипция→LLM, админ‑панель, деплой на AWS и мониторинг. Опыт показывает, что ключевые риски — качество входных данных и непрерывная разметка. Про сроки и бюджет - MVP (ядро пайплайнов + базовые модели + API + демо): 6–10 недель при наличии подготовленных sample‑датасетов и бизнес‑правил. - Поддержка и MLOps: договорная ежемесячная ставка после релиза. Могу приступить после просмотра ваших sample‑деков или небольшого датасета. Можете прислать пример текстов, набор изображений и таблиц и указать текущую инфраструктуру (S3/репозиторий/staging)? Какой KPI по точности и SLA для генерации отчетов вы считаете приемлемым для MVP?

@revival786

With more than 15 years of experience and a client base of over 750 satisfied customers, I am confident that I can successfully handle your AI project and perform its subsequent maintenance. My expertise covers a wide spectrum of areas, including API development, data processing, machine learning, and project management - all the key proficiencies you're seeking in your freelance specialist. My strengths include proficiency with multiple programming languages such as Python, Java, C++, and databases like PostgreSQL, Oracle, and MongoDB. On the ML front, I am skilled in TensorFlow and PyTorch - frameworks that will be essential for this project. Moreover, my experienced teams & I are comfortable with developing smart AI models for NLP (including GPT) as well as computer vision (CV) and table analytics which aligns directly with your multi-modal requirements. What sets me apart is my holistic skillset supplemented by the ability to provide scalable solutions geared towards automation. Also, being experienced with cloud-based deployments (specifically Docker/Kubernetes), software documentation, and MLOps practices ensures that the final outcome is robustly delivered. Ultimately, I want to craft a usable product for you while remaining invested in its future - through support services like metric monitoring, retraining cycles & hotfixes providing a wholesome experience to automate your business processes.

@XRProConnect

Hi there, This project instantly caught my eye, so I had to reach out. The idea of automating routine processes using a custom AI module is fascinating. I specialize in setting up and maintaining AI solutions that are clean, professional, and user-friendly. With experience in NLP, computer vision, and ML, I can seamlessly handle the data processing, project management, and marketing automation needs you outlined. I believe my expertise in developing AI models and my commitment to speedy communication and fast turnaround make me the right fit for this project. Let me know if you are available for a quick chat! Regards, Aashiq

@Microlent

Combining NLP, computer vision, and table-based ETL into one multimodal pipeline is exactly where the complexity of MLOps shows itself, especially when you need automated retrain-cycles. The real challenge here isn't just training the models, it is ensuring that your Docker and Kubernetes environment can handle incremental learning without manual intervention every time new data flows in. I recently built a similar Python-based scoring engine where we had to ensure absolute data consistency across high-volume streams. For your project, it makes sense to start by mapping how the NLP and CV modules will feed into your project management reports. We can use a modular architecture so each part matures at its own pace while maintaining a unified API or UI for your team. I'll handle the full setup from PyTorch training to the final Kubernetes orchestration, including the health monitoring you mentioned for long-term support. I can put together a quick MLOps-регламент and documentation draft for free so you can see the technical approach first. ~ Rajesh

@MIndlabsAi6

Hey there, I'm Vishal Maharaj, a Python expert with 25 years of experience in API Development, Computer Vision, ETL, Machine Learning, and Natural Language Processing based in Perth, Australia. I understand the project's main goal is to automate routine processes by setting up and maintaining a custom AI module. I would approach this project by collaboratively defining business processes, selecting and fine-tuning models (Python, PyTorch, or TensorFlow), configuring data preparation pipelines, deploying the service (Docker/Kubernetes), and providing documentation and support for internal users. Let's discuss further details and kick off this project. Cheers, Vishal Maharaj

@jay8mac

Lets chat, a free consultation and no obligation. I understand you need a clean, professional, and user-friendly solution for your "Обучение и обслуживание AI" project. My skills in PHP, Java, JavaScript are a perfect fit for this project. While I am new to freelancer.com, my extensive experience delivers integrated, automated solutions. Regards, Jason McLachlan

@temoberishvili

Hello! Setting up and training a custom AI module sounds like a fascinating challenge. To tackle this, I would first assess your specific needs for the AI module, focusing on the data processing and machine learning aspects. I have experience with Python and various ML frameworks, which will be key in building a robust model. Once the model is trained, I can implement MLOps practices to ensure efficient deployment and maintenance. I'd start by gathering your requirements for the AI's functionality, then move to data collection and preprocessing before diving into model training. Q1: What specific tasks or functionalities do you envision for the AI module? Q2: Do you have any preferred frameworks or tools for the development process? Q3: How do you plan to handle data privacy and security during AI training and deployment? Let’s make this project a success together.