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Raja Ahmad Ayaz N.

5.0

408

9.0

99%

Rawalpindi, Pakistan

$40 USD per hour

With a passion for delivering innovative solutions that meet client requirements, I have successfully tackled even the most challenging projects. Over the past 15 years, I have delivered over a thousand successful projects to Enterprises and SMEs: ✔ Full Stack Development empowered with AI ✔ Wordpress Theme and Plugin Development with Custom Design ✔ Mob APP & Web APP Development, Automation, APP Store optimization, SAAS Development ✔ UX/UI, Corporate & Brand Identity ✔ ServiceNow Architect, ITSM, CSM, ITOM, ITAM, HAM, SAM, Integrations & Service Portal Modules I am highly flexible and always strive to build long-term relationships by providing top-notch support and delivering the highest quality work. Let's have a conversation and bring your ideas to life!

Mixtral (Mistral AI) JavaScript Python Website Design Graphic Design

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Ekarthaan

4.9

211

9.1

94%

BANGALORE, India

$20 USD per hour

⚡ We help businesses design, build, and scale high-performance digital systems that directly impact revenue — from AI automation, AI voice agents, and custom SaaS platforms to real-time 3D configurators, animation, engineering, and hardware solutions. ⚡ We are a premium System Architecture, AI Automation, 3D, SaaS, Animation, and Engineering company helping businesses turn complex ideas into scalable products. 🏆 What We Specialize In ★★★★★ 🧠 🚀 AI Systems & Automation AI agents, AI chatbots, AI voice systems, conversational AI, LLM integrations, RAG pipelines, NLP, prompt engineering, AI content workflows, AI text-to-speech, AI video, AI image processing, AI research, automation workflows, Twilio, n8n, Zapier, Retell AI, Whisper AI, OpenAI, Claude, Llama, Mistral, DeepSeek, Vector Databases, and enterprise-grade AI architecture. ⚙️ SaaS & Software Development Custom SaaS platforms, full-stack web apps, API development, backend systems, frontend systems, microservices, software architecture, WebRTC, FastAPI, React.js, JavaScript, Python, Java, Google Cloud, AWS, Firebase, Kubernetes, DevOps, web security, software testing, test automation, dashboards, analytics, and scalable cloud deployment. 🎮 3D Configurators & Real-Time Systems Unity 3D, Unreal Engine, Three.js, WebGL, 3D product configurators, real-time rendering, 3D visualization, architectural visualization, 3D rendering, 3D modeling, 3D assets, AR/VR assets, interactive product experiences, digital twins, 360-degree video, and Web-based 3D systems. 🎬 Animation, Video & Creative Production 3D animation, 2D animation, explainer videos, motion graphics, VFX, visual effects, video editing, video production, YouTube ads, Facebook ads, Instagram ads, game trailers, music videos, sound design, sound effects, audio editing, AI animation, AI-generated video, AI influencers, Blender, After Effects, Premiere Pro, Houdini, Final Cut Pro, Photoshop, Illustrator, and digital art. 🔬 Engineering, CAD & Hardware CAD/CAM, SolidWorks, AutoCAD, Fusion 360, Revit, Civil 3D, ArchiCAD, 3D CAD, product design, mechanical design, automotive engineering, electronics, PCB layout, circuit design, firmware, embedded systems, IoT, wireless sensors, DSP, thermal analysis, CFD, FEA, Ansys, DFM, engineering drawings, technical drawings, tech packs, 3D printing, and hardware prototyping. 📈 Marketing, Lead Generation & Growth Systems Lead generation, data scraping, web scraping, data extraction, SEO, SEO auditing, keyword research, Google Analytics, website analytics, content marketing, social media marketing, Instagram marketing, Facebook Ads, Google Ads, Amazon Ads, email marketing, market research, sales automation, and digital marketing systems. Website: www.ekarthaans.com

Mixtral (Mistral AI) Java JavaScript Python Visual Basic

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The 'Core Techies'

4.7

205

8.5

94%

BIKANER, India

$15 USD per hour

Core Techies is a software development and AI engineering company helping startups and enterprises build scalable digital products, automation systems, AI-powered solutions, and SaaS platforms. Since 2013, we have successfully delivered 200+ projects across web applications, mobile apps, backend systems, enterprise software, workflow automation, and AI-powered products. Our expertise includes: 🚀 AI Agents & AI Applications Custom AI agents, conversational AI systems, RAG applications, LLM integrations, document intelligence, and business process automation. ⚡ Workflow Automation n8n, Make.com, Zapier, CRM automation, sales workflows, operational automation, lead management, customer support automation, and system integrations. 📱 Mobile App Development Flutter, Android, iOS, React Native, Firebase-powered applications, MVP development, and enterprise mobile solutions. 💻 Web & SaaS Development React, Next.js, Node.js, Python, Java, Spring Boot, custom SaaS platforms, admin dashboards, multi-tenant systems, and enterprise applications. 🔌 API & System Integrations CRM, ERP, payment gateways, third-party APIs, cloud services, communication platforms, and business system integrations. ☁️ Cloud & DevOps AWS, Google Cloud, Docker, Kubernetes, CI/CD, deployment automation, and scalable cloud infrastructure. Our team focuses on building practical solutions that improve operations, automate workflows, reduce manual effort, and help businesses scale efficiently. Whether you need an AI-powered product, SaaS platform, mobile application, automation workflow, or enterprise software solution, we can help transform your idea into a production-ready system.

Mixtral (Mistral AI) Java JavaScript Python Website Design

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Asad A.

5.0

5.8

100%

Rawalpindi, Pakistan

$45 USD per hour

💰 Custom AI Systems that Scale, Automate, and Grow Your Business I develop AI-powered automation ecosystems that work round-the-clock, turning your business into a self-operating machine that saves time, cuts costs, and boosts revenue. I specialize in n8n, Make, RAG, OpenClaw AI Agents, TTS, and API Integrations, blending no-code + code to deliver end-to-end intelligent automation for any industry. 🧠 Core Expertise ✅ MOODLE Theme/Plugin Development With 8+ years of deep Moodle expertise, I specialize in advanced LMS architecture, including custom plugin and theme development, scalable multi-tenant setups, and high-performance optimization for large user bases. I have hands-on experience with complex integrations such as BigBlueButton, Zoom, SCORM/xAPI, LTI, and secure SSO (SAML/OAuth), along with custom APIs and enterprise-grade automation. ✅ AI Agents & Digital Workers LLM-powered assistants that handle support, sales, onboarding, scheduling, and content creation; all without human input. ✅ RAG-Powered AI Systems Retrieval-Augmented Generation setups with vector databases (Pinecone, Supabase, Qdrant) for context-rich, factual AI responses and knowledge-based chatbots. ✅ API Integrations & Custom Connectors Seamless data flow between CRMs, ERPs, LMSs, payment systems, and SaaS platforms using REST APIs, OAuth2, and webhooks. ✅ Voice & TTS Automation Build voice-enabled AI agents with Google TTS, ElevenLabs, Whisper, and Deepgram, integrated with real-time communication apps like Zoom, Meet, or Telegram. ✅ Email & Lead Automation Intelligent outreach systems that handle prospecting, follow-ups, segmentation, and personalized email campaigns — built with n8n, Airtable, and custom APIs. ✅ Document & OCR Automation Automate ID verification, invoice extraction, and form processing using Tesseract, Google Vision, or custom OCR pipelines. ✅ Social Media & Marketing Automation Auto-generate and schedule posts, manage DMs, track engagement, and integrate with your CRM or analytics dashboards. ✅ AI Chatbots & Virtual Assistants Multi-channel chatbots (Telegram, WhatsApp, Instagram, Messenger) powered by ChatGPT, Claude, or Gemini APIs with RAG and voice integration. ✅ Custom AI Applications RAG dashboards, AI knowledge bases, automated data pipelines, and AI-powered analytics systems using LangChain, Flowise, LangGraph, and CrewAI ✅ OpenClaw AI Agent Services Production-grade OpenClaw deployment on VPS (DigitalOcean, Hetzner, Railway) with Docker sandboxing, secure authentication & MCP integration.

Mixtral (Mistral AI) PHP Python Cloud Computing Web Scraping

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Sumit K.

5.0

3.1

100%

VAISHALI, India

$100 USD per hour

Hi there! I’m Sumit, a seasoned Full-Stack Developer with a passion for crafting exceptional digital solutions. With over 6 years of experience in PHP and more than 4 years in Python, Django, and Flask, I bring a wealth of knowledge and a proven track record of delivering impactful projects. Whether you need a fully functional web application, automation solutions, or cloud deployment, I'm here to turn your vision into reality. What I Specialize In: PHP (6+ years): Building fast, scalable, and secure applications tailored to your business needs. Python, Django, Flask (4+ years): Backend development that powers seamless and reliable experiences. React & React Native: Interactive, user-friendly interfaces and mobile app development that drive engagement. MERN Stack: Full-stack solutions using MongoDB, Express.js, React, and Node.js for modern web applications. Cloud & DevOps: Expertise in AWS, Azure, and DevOps to ensure your projects are always live and running smoothly. Automation & API Integration: Streamline workflows and integrate third-party services for enhanced functionality. Why Work With Me? Client-Centric Approach: I work closely with you to fully understand your needs and deliver exactly what you envision. Quick Turnaround & High-Quality Work: Efficient project delivery without sacrificing quality. Attention to Detail: Every line of code is crafted with precision to ensure flawless performance. Responsive & Adaptive Designs: Your site or app will look and perform perfectly across all devices. 24/7 Availability: I’m here to support you every step of the way, ensuring a smooth and stress-free experience. From small startups to large-scale businesses, I’ve helped clients across various industries achieve their goals. Let’s collaborate to create something extraordinary that leaves a lasting impression! Feel free to reach out to discuss your project. I’m excited to work with you! Best Regards, Sumit K.

Mixtral (Mistral AI) PHP JavaScript Python Website Design

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Dev P.

5.0

0.6

100%

Kalol, India

$25 USD per hour

I am a Full Stack Developer and AI Solutions Engineer with professional corporate experience building intelligent web applications and AI-powered systems. I specialize in combining modern web development with cutting-edge AI — helping businesses automate workflows, build smart chatbots, and deliver better user experiences through technology. What I can build for you: ✅ RAG-based AI chatbots trained on your own business data ✅ React web apps with OpenAI and Gemini API integration ✅ LangChain workflows with tool and function calling ✅ SharePoint SPFx custom web parts and extensions ✅ Python and FastAPI backend development ✅ Payment gateway integration (Stripe, PayPal) ✅ WordPress and full-stack web development My Technical Stack: 🔹 Frontend: React.js, JavaScript, HTML, CSS 🔹 Backend: Python, FastAPI, REST APIs 🔹 AI and LLM: OpenAI, Gemini, LangChain, RAG, Hugging Face 🔹 Platform: SharePoint Online, SPFx, WordPress I have delivered real AI solutions in a professional corporate environment which means I write clean, well-documented, on-time code every single time. Whether you need a simple website or a complex AI-powered system — I can help. Message me with your project details and I will get back to you within a few hours.

Mixtral (Mistral AI) Python Django Sharepoint Azure

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How to hire a great freelance Mixtral Expert

A Mixtral expert is a specialist who designs, fine-tunes, deploys, and integrates Mistral AI's Mixtral mixture-of-experts (MoE) large language models into production applications, APIs, and AI-powered products. Mixtral models, including Mixtral 8x7B and Mixtral 8x22B, use a sparse mixture-of-experts architecture that activates only a subset of parameters per token, delivering strong reasoning, coding, and multilingual performance at lower inference cost than dense models of comparable quality. A freelance Mixtral expert helps companies fine-tune these open-weight models on proprietary data, deploy them on private infrastructure, and build applications that take advantage of their long context windows and competitive throughput.

What a Mixtral expert delivers

Hiring a Mixtral specialist gives you a freelancer who can take an open-weight model and turn it into a working AI feature inside your product. They handle the full lifecycle: model selection, fine-tuning, quantization, deployment, prompt engineering, and integration with your application stack. The commercial value is concrete — companies adopt Mixtral to reduce dependency on closed APIs, run inference on their own infrastructure, lower per-token costs, and keep sensitive data inside their own environment.

Typical deliverables from a Mixtral consultant include:

Fine-tuned Mixtral 8x7B or Mixtral 8x22B checkpoints trained on your domain data using LoRA, QLoRA, or full-parameter tuning

Quantized model weights in GGUF, AWQ, or GPTQ formats for efficient inference

Production inference servers built with vLLM, Text Generation Inference (TGI), Ollama, or llama.cpp

Retrieval-augmented generation (RAG) pipelines combining Mixtral with vector databases such as Pinecone, Weaviate, Qdrant, or Chroma

API wrappers exposing Mixtral through OpenAI-compatible endpoints

Prompt templates, function-calling schemas, and instruction-following datasets

Evaluation reports benchmarking Mixtral against alternatives on your specific tasks

Containerized deployments on AWS, GCP, Azure, or on-premise GPU clusters

Tools and frameworks a Mixtral specialist uses

A competent Mixtral engineer works fluently across the open-source LLM ecosystem. Expect proficiency with the following:

Hugging Face Transformers, PEFT, TRL, and Accelerate for training and fine-tuning

vLLM and Text Generation Inference for high-throughput serving

llama.cpp and Ollama for local and edge deployment

LangChain and LlamaIndex for building agents and RAG systems

DeepSpeed, FSDP, and bitsandbytes for distributed training and quantization

Weights and Biases or MLflow for experiment tracking

Docker, Kubernetes, and NVIDIA Triton for production deployment

PyTorch as the underlying deep learning framework

They also understand the practical hardware side — GPU memory budgeting for sparse MoE inference, tensor and expert parallelism, KV cache management, and the throughput implications of batching strategies.

Industries and use cases

Mixtral experts are commonly hired by AI startups, SaaS companies, fintech firms, healthcare platforms, legal technology providers, e-commerce businesses, and enterprises with strict data residency requirements. Common applications include private chatbots, document summarization, code generation assistants, multilingual customer support, contract analysis, knowledge-base search, content moderation, and internal copilots. Because Mixtral is released under the Apache 2.0 license, it is a popular choice for organizations that need commercial freedom and the ability to host the model themselves.

How to evaluate Mixtral candidates

The strongest freelancers combine machine learning fundamentals with hands-on experience shipping LLM applications. Look for these signals when reviewing profiles and proposals:

Demonstrated fine-tuning work on Mixtral, Mistral 7B, Llama, or other open-weight models, with public Hugging Face repositories or GitHub projects

Practical experience with LoRA, QLoRA, and quantization formats

Familiarity with serving frameworks such as vLLM and TGI, including throughput tuning

Background in prompt engineering, evaluation harnesses, and dataset curation

Comfort with cloud GPU environments and Linux-based deployment workflows

Adjacent expertise in RAG, vector search, and agent frameworks

Useful interview questions to copy and use:

How does the sparse mixture-of-experts architecture in Mixtral affect VRAM requirements compared to a dense model with similar benchmark performance?

When would you choose QLoRA over full fine-tuning for adapting Mixtral to a domain dataset, and what trade-offs does that introduce?

How would you serve Mixtral 8x22B at high concurrency on a multi-GPU node, and which inference engine would you pick?

What evaluation strategy would you use to confirm a fine-tuned Mixtral model outperforms the base instruct version on our specific task?

How would you design a RAG pipeline using Mixtral that handles long documents while staying within the model's effective context window?

Why hire Mixtral experts on Freelancer.com

Freelancer.com gives you direct access to a global pool of machine learning engineers, LLM specialists, and AI infrastructure consultants who work with Mistral models every day. You can review verified portfolios, compare proposals from freelancers on Freelancer.com across multiple time zones, and shortlist candidates whose past projects match your stack. Clients set their own budgets and receive competitive bids, with Milestone Payments holding funds securely until each deliverable is approved. Whether you need a short fine-tuning engagement or an ongoing AI engineering partner, Freelancer.com lets you scope the work precisely and engage talent quickly.

Ready to build with open-weight LLMs on your own terms? Post a project on Freelancer.com today and connect with skilled Mixtral experts ready to fine-tune, deploy, and integrate Mistral's mixture-of-experts models into your product.

What are the steps to hiring a freelance Mixtral expert?

Hiring a Mixtral specialist works best when you treat the engagement as an applied AI engineering project, not just a model download. The clearer you are about the model variant, infrastructure, and target use case, the better the proposals you will receive. The process below walks through posting, reviewing, and awarding the work.

Step 1: Post your project on Freelancer.com

Your brief is the single biggest determinant of bid quality. A precise project post filters out generalists and attracts freelancers with genuine Mixtral experience. Head to the post project page , where you fill in the brief, scope, timeline, and budget before publishing the project for freelancers to bid on.

Specify which model you intend to use — Mixtral 8x7B, Mixtral 8x22B, or an instruct variant

Describe the use case: fine-tuning, RAG, agent development, deployment, or evaluation

State your target hardware or cloud environment, including GPU type and memory

List required integrations such as vLLM, LangChain, vector databases, or OpenAI-compatible APIs

Note data sensitivity, residency requirements, and any compliance constraints

Indicate timeline, expected deliverables, and your budget range

Step 2: Review bids from freelancers

Bids on a Mixtral project are short technical proposals, not just price quotes. A strong bid shows the freelancer has read the brief, understood the architecture implications, and proposed a realistic plan. Use Freelancer.com's chat to ask clarifying questions before shortlisting.

Look for proposals that name a specific fine-tuning method (LoRA, QLoRA, full FT) with reasoning

Check whether the freelancer suggests an appropriate inference engine for your throughput needs

Note proposals that raise sensible questions about dataset quality, evaluation metrics, or licensing

Confirm timelines account for data preparation, training, evaluation, and deployment — not just training

Review attached sample work such as Hugging Face repos, GitHub projects, or prior LLM case studies

Use chat to test the freelancer's grasp of MoE-specific concepts before shortlisting

Step 3: Evaluate freelancers and award the project

Final selection should combine proposal quality with profile evidence. For Mixtral work, look for consistency across multiple LLM projects rather than a single impressive demo. Open-source contributions and reproducible benchmarks are particularly strong signals.

Review portfolio depth: prior fine-tunes, deployments, and AI integrations relevant to your stack

Check star ratings alongside the volume of completed projects to gauge consistency

Read written client reviews for comments on technical communication and delivery

Confirm verified payment method, completion rate, and on-time delivery rate

Look for public artifacts — Hugging Face models, GitHub repos, or technical write-ups

Award the project and use Freelancer.com Milestone Payments to release funds as each deliverable, from fine-tuned checkpoint to deployed endpoint, is approved

What is the difference between Mixtral and Mistral?

Mistral is the company and also refers to its dense models such as Mistral 7B. Mixtral refers specifically to the sparse mixture-of-experts models — Mixtral 8x7B and Mixtral 8x22B — which activate only two of eight expert subnetworks per token to deliver higher quality at lower active compute than equivalent dense models.

Do I need a Mixtral freelancer or a general machine learning engineer?

If your project specifically involves fine-tuning, deploying, or integrating Mixtral models, hire a freelancer with direct Mixtral or Mistral experience. A general ML engineer may be capable, but a specialist will move faster on quantization, serving, and MoE-specific optimizations.

How long does a typical Mixtral fine-tuning project take?

Small LoRA fine-tunes on curated datasets often take one to two weeks including data preparation and evaluation. Larger projects involving custom datasets, full deployment pipelines, and RAG integration typically run four to eight weeks depending on scope and infrastructure readiness.

Can I hire a Mixtral expert for a one-off consultation?

Yes. Many freelancers on Freelancer.com take short engagements such as architecture reviews, model selection advice, deployment audits, or prompt engineering sessions. Define the scope clearly in your brief and you will receive proposals matched to that size of work.

Can Mixtral run on my own infrastructure?

Yes. Mixtral is released under the Apache 2.0 license, so you can self-host it on your own GPUs, a private cloud, or on-premise hardware. A Mixtral expert can size the hardware, choose a quantization format, and configure an inference server appropriate for your throughput and latency targets.