Turn product data into models, pipelines, dashboards, and AI-powered features. Add one specialist or build a team for an existing product, a new data initiative, or an AI use case without running the search and hiring process in-house.
Build your team in 4 simple steps
MWDN keeps hiring clear and practical: define the role, review relevant specialists, choose the right fit, and start working with support already in place.
Tell us what role, stack, seniority, and working style you need.
Review 4–5 pre-vetted candidates matched to your request.
Meet relevant specialists and choose who fits your team best.
We support contracts, payroll, setup, and smooth onboarding.
We match people to your role, stack, seniority, time zone, and working style, so you see candidates who can fit into your team, not just match a job title
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
Tell us who you need – from the role and seniority to relevant technologies, domain experience, location, and time-zone requirements. We’ll screen and shortlist specialists against the criteria that matter for your team
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
These cases show how MWDN supports companies that need data engineering, data science, BI, MLOps, and AI expertise within an existing product team
MWDN supported Atidot with a data scientist, BI specialist, and senior backend Python developer across several stages of the cooperation
MWDN supported StackUp with senior full-stack developers and a senior data engineer working across product and data infrastructure
MWDN supported Maverick AI with a senior data scientist and NLP engineer, an MLOps and data engineer, and backend specialists
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
96% clients return or recommend MWDN
MWDN is one of the best subcontractors that we’re working. The development team are experts, and management team is flexible and opportunity creators. Definitely the right choice.
CEO, VIDOO
I had the pleasure of working with this design team.
Head of design in TechClub
Delivery success rate
97 %
We don’t just provide software; we power long-term success. 97% of our clients stay with us year after year, trusting our platform for everything from daily workflows to their most critical business milestones.
Rappid delivers outstanding quality and consistency. Their passion for baking shows in every product, and their reliability makes them an exceptional partner. I strongly recommend Rappid to anyone looking for premium baked goods.
Head of design in TechClub
Rappid delivers outstanding quality and consistency. Their passion for baking shows in every product, and their reliability makes them an exceptional partner. I strongly recommend Rappid to anyone looking for premium baked goods.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
I used to think cashback was a gimmick, but I was wrong. It feels great to get a notification that you got $5 back just for buying coffee and lunch.
Head of design in TechClub
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
Hire an AI, ML, or data specialist directly into your company. Pay the recruitment fee after the hire is made
Add QA specialists to test data flows, APIs, AI-powered features, integrations, and product behaviour
Build a team with AI and data specialists, developers, DevOps engineers, QA, and project management roles
Bring in a project manager, delivery manager, product owner, or business analyst to coordinate technical work and business requirements
Add an AI or data specialist to your current team for a defined initiative or ongoing product work
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.
