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Muhammad A.

4.7

5.7

97%

Perth, Australia

$50 USD per hour

I provide complete IT services tailored to modern business needs, with a strong focus on Blockchain development, Artificial Intelligence, Machine Learning, Big Data, Web and Mobile app development, E-commerce platforms, and custom software solutions. I specialize in blockchain technologies including DEXs, DApps, NFTs, Web3, smart contracts, and DeFi applications across platforms like Ethereum, BSC, and Polygon. For web and mobile development, I work with Java, Python, PHP, and top JavaScript frameworks such as React.js, Node.js, Angular, and Vue.js—alongside mobile technologies like Flutter and React Native. My e-commerce solutions are built on platforms like WooCommerce, Shopify, and Magento, while my AI and machine learning services leverage tools such as TensorFlow and AWS to create intelligent, data-driven systems. If you're looking for secure blockchain integration, modern web and mobile development, scalable e-commerce systems, or custom AI-driven software, I’m here to help turn your ideas into powerful digital products.

AI Model Development PHP C Programming Java JavaScript

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Ren Z.

5.0

6.4

97%

Sydenham, Australia

$40 USD per hour

═════════════════════════════════════════════ LEON FRESH / REN Full-Stack Developer + UI/UX Designer · Sydney · 10+ Years Next.js · React · WordPress · AI Web Apps · SaaS · UI/UX ═════════════════════════════════════════════ One hire. Premium design and the engineering to ship it. Most web projects need two people: a designer to create a polished user experience, and a developer to build it properly. I do both. I help businesses, startups, and founders turn ideas into beautiful, fast, production-ready websites and web apps without the usual handoff problems, miscommunication, or doubled cost. I can help you with: ✅ Custom websites and landing pages ✅ Web apps, dashboards, portals, and SaaS products ✅ Next.js, React, JavaScript, HTML5/CSS3, PHP, Python ✅ WordPress design, development, fixes, and customisation ✅ AI tools, GPT/LLM integrations, automation, and Python workflows ✅ UI/UX design in Figma, Adobe XD, Photoshop, Illustrator, and InDesign ✅ Interactive experiences using Unity3D and C# Trusted by: BMW · Maserati · Sony · CeBIT Australia What makes me different: I care about both how your project looks and how it works. You get clean design, clear communication, responsive development, and a final product that feels professional instead of patched together. I also bring a strong creative and strategic background, with 35k+ YouTube subscribers and 18M+ views, giving me a real understanding of attention, content, and user engagement. If you need a developer who can think like a designer, build like an engineer, and communicate clearly from start to finish, I’d be happy to help. Let’s build something polished, functional, and ready to launch.

AI Model Development PHP C Programming JavaScript Python

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Vishal Ashwani M.

4.7

6.4

100%

PERTH, Australia

$82 USD per hour

For over two decades, I’ve been engineering software that doesn’t just work — it performs, scales, and feels effortless. I specialise in AI-driven software engineering using Python, JavaScript, and AWS, building everything from fast APIs to full end-to-end SaaS platforms. Front-end to back-end, I turn ideas into smooth digital experiences. SQL or NoSQL — I design and optimise databases that run clean and handle real load. APIs & automation — I build scalable REST services and workflow automation that keep products running smoothly. My approach is simple: engineer clean systems, automate the boring parts, and make everything feel seamless in the real world — from the UI to the database to the cloud. Over the past few years, I’ve been working hands-on with AI across practical, production-ready use cases: chatbots, trading bots, analytics tools, talking avatars, object detection, and image generation. My focus is always the same - making AI engine that actually get used, make sense, and deliver value to the product. Whether it’s Python microservices, JavaScript front-ends, AWS cloud architecture, or building a full SaaS system from scratch, I aim for clean engineering and a result that feels remarkable in the real world. Cheers, Vishal Maharaj

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Viraj K.

5.0

4.3

100%

Strathfield, Australia

$45 USD per hour

Hello! I’m 𝑽𝒊𝒓𝒂𝒋 𝑲𝒂𝒓𝒂𝒏𝒈𝒖𝒕𝒌𝒂𝒓, a software engineer based in 𝐀𝐮𝐬𝐭𝐫𝐚𝐥𝐢𝐚. More than just writing code, I like to work as a technical partner for the people I collaborate with. Many projects start as an idea on paper, and my role is to help turn that idea into something real, stable, and ready for users. From the first concept to the final delivery, I focus on building systems that are reliable, scalable, and pleasant to use. Technology changes quickly, but good engineering and clear thinking never go out of style. One thing clients quickly notice about me is that I care a lot about trust and reliability. If something is in production and people depend on it, it should work properly. That mindset guides how I design and build software. 𝐖𝐡𝐚𝐭 𝐈 𝐇𝐞𝐥𝐩 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐁𝐮𝐢𝐥𝐝 ✔ Mobile Applications Apps that feel fast, smooth, and natural for real users. Whether it's a startup product or a business tool, I focus on making mobile apps that people actually enjoy using. ✔ Desktop Applications Powerful desktop tools for internal operations, automation, or specialized workflows. These are often the quiet heroes inside companies that keep everything running efficiently. ✔ Web Platforms Modern web applications, dashboards, marketplaces, SaaS products, and business systems. I enjoy building platforms that help companies operate more efficiently and scale their services. 🤖 AI & Intelligent Systems I’ll be honest… I’m a bit of an AI enthusiast. Over the past few years I’ve spent a lot of time learning how AI can actually be useful inside real products, not just demos. ✔ Integrating APIs like OpenAI or Claude ✔ Building chatbots and AI assistants ✔ Creating RAG pipelines for knowledge systems ✔ Working with model tuning and intelligent automation From simple AI integrations to more advanced AI-powered systems, I enjoy helping products become smarter and more capable. 𝐌𝐲 𝐒𝐤𝐢𝐥𝐥𝐬 Technically, I work across multiple parts of the stack. ✔ Mobile technologies such as Kotlin, Swift, Java Flutter and React Native ✔ Web development with ASP.NET, React, Vue, Angular, PHP, Laravel ✔ Desktop development using modern frameworks and tools (C#, Electron, Qt etc) ✔ APIs, backend architecture, and scalable systems I also have experience with CMS platforms like WordPress, Wix, and Kajabi, along with DevOps, cloud infrastructure, and database design. If I tried to list every tool or technology I’ve worked with, this profile would probably turn into a few extra pages, so I’ll stop here😅. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 ✔ Clear communication and honest collaboration ✔ Careful architecture and maintainable systems ✔ Reliable delivery and long-term thinking If you have an idea and want someone who can help turn it into a solid, well-engineered product, I’d be happy to help. Let’s build something 𝑨𝑴𝑨𝒁𝑰𝑵𝑮 and 𝑹𝑬𝑴𝑨𝑹𝑲𝑨𝑩𝑳𝑬.

AI Model Development PHP JavaScript Python SEO

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How to hire a great freelance AI Model Developer

An AI model developer is a machine learning engineer who designs, trains, evaluates, and deploys artificial intelligence models that solve specific business problems using data, algorithms, and modern ML frameworks. From predictive analytics to computer vision and large language model fine-tuning, an AI model developer turns raw data and business requirements into production-ready intelligent systems. Hiring a skilled AI model developer on Freelancer.com gives you direct access to specialists who can build, ship, and maintain models that perform reliably under real-world conditions.

What an AI model developer actually delivers

AI model development covers the full lifecycle of a machine learning system, not just training a model in a notebook. A capable AI engineer scopes the problem, prepares data, selects the right architecture, trains and validates the model, and integrates it into your application or pipeline. The commercial value comes from automation, accuracy gains, and decisions made at a scale humans cannot match.

Typical deliverables include trained model files, inference APIs, evaluation reports, training pipelines, and documentation that allows your engineering team to maintain the system after handover. Many freelance AI developers also handle MLOps tasks such as monitoring drift, retraining, and versioning models in production.

Core services and project types

Custom model training for classification, regression, clustering, and ranking problems

Computer vision systems for object detection, image segmentation, OCR, and visual quality inspection

Natural language processing for text classification, sentiment analysis, summarization, and entity extraction

Large language model fine-tuning, RAG (retrieval-augmented generation) pipelines, and prompt engineering

Recommendation engines and personalization models for e-commerce and media platforms

Time series forecasting for demand planning, financial modeling, and IoT sensor analysis

Generative AI applications using diffusion models, transformers, and multimodal architectures

Model deployment, containerization, and inference optimization for cloud or edge environments

Tools, frameworks, and platforms

Strong AI model developers work fluently across the modern ML stack. Expect candidates to be proficient with the libraries and platforms that match your problem space.

Frameworks: PyTorch, TensorFlow, Keras, JAX, scikit-learn, XGBoost, LightGBM

LLM and NLP tooling: Hugging Face Transformers, LangChain, LlamaIndex, spaCy, OpenAI API, Anthropic API

Computer vision: OpenCV, YOLO, Detectron2, MMDetection

MLOps and deployment: MLflow, Weights and Biases, Kubeflow, Docker, Kubernetes, FastAPI, ONNX, TensorRT

Cloud platforms: AWS SageMaker, Google Vertex AI, Azure Machine Learning, Databricks

Data tooling: Pandas, NumPy, Apache Spark, SQL, vector databases such as Pinecone, Weaviate, and Milvus

Industries and use cases

AI model developers serve a broad range of sectors where data-driven decisions create measurable impact. Common engagements include fraud detection in fintech, diagnostic imaging in healthcare, predictive maintenance in manufacturing, demand forecasting in retail and supply chain, content moderation and recommendation in media, and customer support automation through conversational AI. Startups frequently hire AI engineers to build a working proof of concept, while enterprises bring in specialists to fine-tune domain-specific models or scale prototypes into production.

How to evaluate AI model developer candidates

Look for a portfolio that shows end-to-end ownership: data preparation, model selection, evaluation methodology, and deployment artifacts. Strong candidates explain their choices in terms of business metrics, not just accuracy scores. Academic credentials in computer science, mathematics, or statistics are common, but production experience and a public record on platforms like GitHub or Kaggle often matter more.

Useful signals include peer-reviewed publications, contributions to open-source ML projects, certifications such as AWS Certified Machine Learning Specialty or Google Cloud Professional Machine Learning Engineer, and case studies describing trade-offs between latency, cost, and accuracy.

Sample interview questions you can use directly:

Walk me through a recent model you built end to end. How did you define success, and how did you measure it in production?

How do you handle class imbalance and data leakage during training and validation?

Given our use case, would you fine-tune a foundation model, train from scratch, or use a RAG approach, and why?

How do you monitor model drift and decide when to retrain in production?

Describe how you would deploy a model with strict latency requirements on a limited cloud budget.

Why hire AI model developers on Freelancer.com

Freelancer.com gives you access to a global network of machine learning engineers, data scientists, and AI researchers across every specialization, from computer vision to generative AI. You can compare profiles, portfolios, ratings, and verified reviews to find a developer whose past work aligns with your problem. Clients on Freelancer.com set their own budgets and receive competitive bids, so you can scope a one-off prototype or a long-term MLOps engagement on terms that suit your project. Milestone Payments protect both sides during the engagement, and the platform's chat and file-sharing tools make it straightforward to manage technical handovers across time zones.

Ready to build your next machine learning system? Post a project on Freelancer.com today and connect with skilled AI model developers ready to deliver production-ready models for your business.

What are the steps to hiring a freelance AI model developer?

Hiring an AI model developer is straightforward when you treat the brief as a technical specification, not a wish list. The clearer you are about your data, target metrics, and deployment environment, the better your bids will be. The process below walks you through posting your project, reviewing proposals, and awarding the work with confidence.

Step 1: Post your project on Freelancer.com

Your project post is the single biggest determinant of bid quality. A precise brief filters for AI engineers whose experience genuinely matches your problem, your data shape, and your deployment constraints. 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.

Describe the business problem and the metric you want the model to optimize, such as accuracy, F1, recall, or mean absolute error

Specify your data: format, volume, labels available, sensitivity, and whether the freelancer needs to sign an NDA

Name the preferred frameworks or constraints, for example PyTorch, TensorFlow, Hugging Face, or a specific cloud provider

State the deployment target: REST API, batch inference, edge device, or integration into an existing application

List required deliverables such as trained model weights, training scripts, evaluation report, Docker image, and documentation

Indicate timeline expectations and whether ongoing retraining or MLOps support is in scope

Step 2: Review bids from freelancers

Bids are short proposals that reveal how each freelancer interprets your brief. A strong AI developer will not just quote a price; they will surface assumptions, ask sharp questions about your data, and propose a realistic approach. Read each proposal carefully and shortlist the candidates whose technical reasoning matches the problem.

Look for proposals that name a specific architecture or model family suited to your task

Note whether the freelancer raises clarifying questions about data quality, labeling, or evaluation strategy

Check that proposed timelines include data preparation, training, evaluation, and deployment, not just modeling

Confirm relevant tooling experience: PyTorch, TensorFlow, Hugging Face, vector databases, or your target cloud platform

Review attached samples such as GitHub repositories, Kaggle notebooks, or published case studies

Use Freelancer.com chat to ask follow-up questions about prior projects and validation methodology before shortlisting

Step 3: Evaluate freelancers and award the project

Your final decision should combine proposal quality with profile evidence. Look at the consistency of past work, not just the strongest single example, and weigh portfolio relevance against your specific domain. For AI work, the right indicators are a track record of shipped models and clear documentation, not flashy demos alone.

Review portfolio depth across relevant domains such as NLP, computer vision, forecasting, or generative AI

Check star ratings, the volume of completed projects, and on-time delivery rate

Read written client reviews for comments on communication, code quality, and reproducibility

Confirm verified payment method and completion rate on the freelancer's profile

Look for public GitHub activity, Kaggle competitions, or technical writing that demonstrates ongoing practice

Award the project and structure Milestone Payments around concrete deliverables such as data pipeline, baseline model, tuned model, and deployed inference endpoint to protect your engagement

How long does an AI model development project take?

A focused proof of concept often takes two to four weeks, while production-grade systems with data pipelines, deployment, and monitoring typically run several months. Timelines depend on data readiness, problem complexity, and whether you are fine-tuning an existing model or training from scratch.

What is the difference between an AI model developer and a data scientist?

Data scientists focus on analysis, experimentation, and statistical insight, often producing reports and prototypes. AI model developers concentrate on building, training, and deploying production models, with stronger emphasis on engineering, MLOps, and inference performance. Many freelancers combine both skill sets.

Can I hire an AI model developer for a one-off project?

Yes. Many clients post a project on Freelancer.com for a single deliverable such as a fine-tuned LLM, a custom computer vision model, or a working prototype. You can also extend the engagement into ongoing maintenance, retraining, or MLOps support if the initial work succeeds.

Do I need to provide my own training data?

In most cases, yes. Domain-specific models perform best when trained on data that reflects your real environment. Experienced AI developers can also help with data collection strategies, labeling workflows, synthetic data generation, or sourcing publicly available datasets when proprietary data is limited.

Do I need an AI model developer or an agency?

An individual freelancer is usually the right fit for focused models, prototypes, and well-scoped production work. Agencies make sense when a project spans data engineering, full-stack application development, and ML simultaneously. Freelancer.com supports both, and you can also assemble a small team of independent specialists for larger builds.