Struggling to implement AI into your business? Confused between automation tools and real intelligence? Pyng connects you with trusted, certified AI experts who understand both and can build robust, intelligent systems customised for your industry needs.
Whether you’re a startup looking for data-driven insights or an enterprise seeking scalable automation and generative AI capabilities, our platform helps you find the right AI talent, fast.
Our listed professionals aren't just coders; they are AI engineers, developers, and automation specialists with a strategic mindset. Each expert is trained in designing, developing, and deploying intelligent solutions that create a measurable impact.
Whether you’re seeking a machine learning specialist, a prompt engineering expert, or a certified AI solutions architect, Pyng makes expert discovery secure and straightforward.
At Pyng, you don’t just browse random profiles; you engage with verified professionals who are backed by portfolio data, AI-assisted discovery, and transparent pricing.
Here’s why businesses choose our platform:
From building a chatbot to launching a generative AI content engine, the right AI expert is just a Pyng away.
Choosing the right AI expert can make or break your project. Whether you're building a recommendation engine, automating workflows, or integrating large language models, it’s essential to evaluate the right skills, experience, and approach.
Here’s a quick guide to help you select the best-fit AI expert for your needs:
Ensure the expert is fluent in relevant technologies like Python, TensorFlow, PyTorch, and popular AI/ML frameworks. Strong coding skills combined with an understanding of algorithms are the foundation of any capable AI developer.
Look for hands-on experience in applied domains like Generative AI, AI prototyping, and LLMOps. A strong AI expert should demonstrate practical work with technologies such as SQL, AWS, and platforms like Xamarin.
Also, check if they’ve built or contributed to minimum viable products (MVPs) or integrated AI into CRM and ERP systems. Real-world case studies and past deployments are key indicators of their problem-solving ability and business alignment.
The best AI experts don’t just theorise, they build, ship, and scale intelligent solutions that work in real business environments.
Ask if they’ve worked on scalable solutions, can their models handle real-time data, production loads, and integrations with CRMs, ERPs, or SaaS platforms? A scalable tech advisor ensures your solution grows with your business.
You don’t just need a coder, you need a partner. A strong AI expert can suggest the right model types, build efficient pipelines, and customise solutions to meet your goals.
Expert Tip: ‘A good AI expert doesn’t just write code, they architect intelligent systems tailored to your business.’
Great solutions come from great collaboration. Choose someone who communicates clearly, documents well, and understands cross-functional workflows, especially when working with product, data, and business teams.
Got questions about hiring or working with an AI expert? You're not alone. Here are some of the most frequently asked questions businesses ask before they start their AI journey.
A certified AI expert should have a strong foundation in data science, machine learning, and deep learning frameworks. Experience with tools and Python, along with a portfolio of real-world projects, shows their ability to deliver results, not just write code.
Absolutely. Many AI consultants specialise in building AI automation systems, from workflow bots to intelligent decision-making engines.
An AI developer typically focuses on implementation and code execution, while an AI expert brings a broader strategic view, architecting systems, optimising models, and aligning AI with business goals. Think of them as your ML strategy advisor and technical consultant, rolled into one.
Yes. Many professionals on Pyng offer short-term POCs (Proof of Concepts) or one-time consultations to assess AI feasibility, design workflows, or prototype intelligent systems. Whether it’s generative AI, automation, or AI-powered MVP development, short-term gigs are common.
When tuned by a certified prompt engineer or generative AI expert, these systems can produce high-quality, business-ready content. Use cases include content creation, support bots, image generation, and more, provided the proper safeguards and model governance behind them.