Add AI and data specialists to build models, pipelines, dashboards, and AI-powered features without managing the hiring process in-house.
Different AI and data projects require different expertise. Whether you need someone to build AI features, prepare and analyze data, or create the infrastructure behind them, we can help you find a specialist with the right experience for your team.
Hire AI and data expert in 4 steps
Get a clear hiring process from request to onboarding. Share your AI or data needs, review relevant specialists, and choose the right fit for your team.
Tell us about your use case, tech stack, data environment, and the expertise you need.
Review pre-vetted AI and data specialists matched to your requirements.
Meet relevant specialists and choose who fits your team best.
We support contracts, payroll, setup, and smooth onboarding.
How MWDN vets AI and data specialists
We check commercial AI or data experience relevant to your product, industry, and role.
We assess the tools, technologies, and methods required for the specific position.
We look for experience with similar data environments, AI use cases, and product challenges.
We evaluate how candidates approach data quality, model performance, scalability, and technical trade-offs.
You interview shortlisted AI and data specialists and make the final hiring decision.
We check how candidates explain technical decisions and work with product and engineering teams.
Add expertise where the work currently stops, from preparing data infrastructure to deploying models and integrating AI into product workflows.
Collect, transform, and move data between product systems, warehouses, analytics tools, and machine learning workflows.
Prepare datasets, build models, evaluate results, and move selected solutions into production.
Integrate LLMs, recommendation systems, predictive models, NLP, or computer vision into an existing product.
Build dashboards, reporting layers, and analytics workflows that give product and business teams access to usable data.
MWDN combines international hiring reach, flexible cooperation models, and long-term support within one partnership.
We have supported technology companies through changing markets, hiring needs, and stages of growth since 2002.
We recruit across international talent markets and support clients and specialists in more than 20 countries.
Clients receive the first pre-qualified candidates within 48 hours.
MWDN teams stay together for more than five years on average.
See how technology companies used MWDN to add specialized engineers, build dedicated teams, and support long-term product development across different markets.
MWDN added Ruby on Rails, iOS, and Android specialists to support web and mobile delivery for Gett’s global mobility platform.
Twingate needed to expand its engineering capacity for a cloud-based Zero Trust platform. MWDN built a full-time dedicated team of 8 engineers across software development, QA, frontend, cloud, DevOps, and client applications.
Hi-G-Tek needed a dedicated engineering team for its IoT fleet and asset management platform. MWDN scaled the team to up to 12 specialists across embedded, web, mobile, backend, and data work, supporting a product deployed across 24 markets.
See how MWDN helps companies build teams across AI, cybersecurity, fintech, SaaS, telecom, IoT, mobility, and more.
Their feedback shows how MWDN works in practice, from communication and delivery to long-term support.
Here’s how they describe the experience:
MWDN is one of the best subcontractors that we’re working with. The development team are experts, and the management team is flexible and opportunity creators. Definitely the right choice.
CEO, VIDOO
I have found MWDN to be a company with great honesty and high business ethics. The services, which they offered to us, have been of a very high quality and at very competitive rates. I have no hesitation in recommending them to any potential customer.
VP R&D , Pointer Telocation Ltd
Client referral rate
96%
Long-term partnerships make up a large part of our work. Our clients stay with MWDN, return with new hiring needs, and recommend us to other companies.
I approached MWDN for a POC that was delivered ahead of time with very competitive pricing. Following that experience, I have been working with various teams at MWDN for more than two years. Developers and managers have. great technical and interpersonal qualities.
Co-Founder & CTO, Better Chains
It was the really good journey with MWDN Ltd, the best IT company in Kharkov and maybe even in Ukraine. My major conclusion is that the individuals are making this company so unique and attractive. Thank you!
CTO, SizeWhiz
I had the greatest pleasure of working with MWDN. All teams are very pragmatic, get-it-done oriented engineers that deliver great quality of work with a strong “right first time” attitude. I worked with a very high-level team, which had technical and interpersonal qualities.
CTO, SpeakingPal
I reached MWDN as I knew the company had a pool of skilled developers with vast expertise in medical software. Thanks to their assistance, I managed to reinforce my in-house team and fill in existing skill gaps. When working with MWDN, you can immediately see that diligence, transparency, honesty, and quality are their top values.
COO, NICAS CS
MWDN’s commitment to the team for our success is impressive. The team was working on data analysis for synthetic data, delivered work on time and responded well to our needs.
VP R&D, Fairgen
Clear and transparent communication is a hallmark of our engagement with MWDN. From project updates to issue resolution, the open lines of communication fostered a sense of trust and collaboration.
MWDN consistently met project deadlines, resulting in the timely delivery of goods and services. This punctuality greatly contributed to the overall success of our project.
CTO, Hi-G-Tek
MWDN’s engineers have joined our teams as an inherent part of our engineering group. They serve in multiple roles in engineering contributing to the core of our technology.
The fact that MWDN has the very high level of candidates for each role that we opened, the longevity and commitment of each of MWDN’s team members and of course the quality of deliverables by their engineers are very impressive.
EVP, Engineering & General Manager, Capitolis
MWDN has provided us with rapid talent acquisition, full development teams, and single specialists. The team has developed software products for supply chain management. The team has delivered at a constant speed and with low maintenance.
VP of Product Development & QA, Valantic
I like MWDN’s work ethic. They try hard to get things done on time and to get to the bottom of every feature set early in the process rather than later in development, which I think is key.
We are happy with the work that they do, including the quality of their product, and the code delivered. They are usually able to deliver projects on time, which is something that rarely happens in this industry if you are familiar with it. On every project that we have done with them, clients have always come back and wanted more things, making this a testament to MWDN’s success.
Co-Founder, Goji Labs
The team at MWDN was excellent in terms of project management, communication, and delivery at the end of it. They successfully helped us hire a strong remote R&D team.
CEO, StackUp
MWDN has successfully delivered high-quality releases on time and has been responsive to our needs. The team has demonstrated a high commitment to the project and has provided quality engineers. Overall, the engagement has been a success.
Director of Engineering, Change Healthcare
MWDN managed the project very effectively, delivering all milestones on time. They were highly responsive to our needs, adapted quickly to feedback, and maintained clear, proactive communication throughout.
MWDN stood out for their professionalism, responsiveness, and friendly, supportive approach. They consistently went above and beyond to deliver high-quality solutions and adapt to our needs.
VP of People, Atidot
They found us good developers very quickly. It’s a real challenge to get good developers in less than a month, but they did it.
MWDN very quickly brought us two amazing developers, who worked so well that we hired another. We now have a backend developer, a frontend developer, and a developer that does both. One of our employees is the head of development.
COO, Swiftic.io
MWDN has met our QA roadmap milestones. For example, in one month, the candidate we hired through MWDN developed their first batch of tests. MWDN’s personal treatment and professionalism are impressive.
VP R&D, Nostromo
The team has always been super responsive and able to match our crazy pace.
MWDN demonstrated strong project management practices. They consistently delivered SQL outputs on or ahead of schedule. For larger or more complex requests, they communicated progress proactively and set realistic expectations.
Urgent customer-facing requests were prioritized without compromising the quality of other deliverables. Their team often clarified requirements early in the process to ensure accuracy and alignment. This reduced the number of revisions required.
Director of Technical Solutions , Triple Whale
Tech talent and expertise
MWDN can support
Add individual specialists or combine several roles around your product and delivery needs. MWDN can support software development, QA, DevOps, AI and data, project management, and product design, matching candidates by experience, technology stack, time zone, and team setup.
Add the roles needed to connect data work with product development, infrastructure, testing, and delivery. Hire individual specialists or assemble a cross-functional team under one contract.
Add backend, frontend, mobile, or full-stack developers to integrate data services and AI features into the product.
Add UI/UX or product designers to turn product requirements into user flows, interfaces, prototypes, design systems, and developer-ready assets.
Add QA specialists to test data flows, APIs, AI-powered features, integrations, and product behaviour.
Bring in a project manager, delivery manager, product owner, or business analyst to coordinate technical work and business requirements.
Bring in DevOps specialists to support cloud infrastructure, CI/CD, deployments, monitoring, scalability, and development environments.
Bring in a business analyst to turn product and business requirements into clear specifications your development team can work with.
Need more information? You may find the answers here.
You can hire AI engineers, machine learning engineers, data scientists, data engineers, MLOps engineers, BI developers, NLP engineers, computer vision engineers, and Generative AI or LLM specialists. One specialist can join your team, or several roles can be combined around the same use case.
Yes. A machine learning engineer can join an existing product or start work on a new model-based feature. The role may cover data preparation, model development, evaluation, deployment, monitoring, and integration with product systems.
A data engineer builds the infrastructure used to collect, process, store, and move data. A data scientist analyses that data and develops models or experiments. Many products need both roles because modelling depends on accessible and reliable data.
Yes. You can hire specialists to work on LLM integrations, RAG systems, assistants, document processing, semantic search, NLP automation, and other generative AI features. The scope depends on your data, product architecture, security requirements, and expected output.
Yes. AI and data specialists can join an existing engineering team and work with the current backend, frontend, cloud, and data infrastructure. They can support a specific feature, improve an existing model, or take responsibility for a longer workstream.
Yes. Candidates may have experience with AWS, Google Cloud, Microsoft Azure, Snowflake, BigQuery, Docker, Kubernetes, and related data and deployment services. The shortlist is matched to the infrastructure already used by your team.
Yes. The team may include a data engineer, data scientist, ML engineer, MLOps engineer, BI developer, and software developers. QA, DevOps, and project management roles can be added when required.
The process covers technical experience, product context, data and cloud tools, model or pipeline work, communication, and availability. Evaluation may include a technical interview, a practical task, or a discussion of previous architecture and model decisions.
Share the product goal, available data, current infrastructure, and the result you expect. Get help defining whether you need an AI engineer, data scientist, data engineer, ML engineer, MLOps engineer, BI developer, or a complete team.
