MODEL 01
Individual specialists
Embed a senior ML engineer, data engineer, or MLOps specialist directly into your team.
- Hand-picked and vetted
- Works in your stack
- Reviewed by Umaku
Hire AI developers
Vetted AI engineers, embedded with your team.
Augment your team with dedicated AI specialists or stand up a full squad, delivered with Omdena's verified-quality process built in.
Specialists
Matched to your stack
Days
To embed, not months
QUALITY, NOT JUST HEADCOUNT
Every embedded engineer works inside a reviewed delivery process for scope, quality, DevOps, and bugs.
Engagement models
However you need to scale.
MODEL 02Most popular
Dedicated squad
A cross-functional pod that owns delivery of a defined system end to end.
- Owns scope and delivery
- Verified every commit
- Live progress in Umaku
MODEL 03
Managed project
We take the outcome end to end, scope, build, verify, deliver, and hand over.
- Fixed scope and timeline
- You own the IP
- Full documentation
Roles you can hire
Specialists across the AI stack.
ML EngineersLLM / GenAI EngineersData EngineersComputer Vision EngineersNLP EngineersMLOpsData ScientistsAI Solution ArchitectsPrompt / Eval EngineersTech Leads
How vetting works
Why vetted actually means something here.
Known delivery pool
A deep global pool helps match real expertise to your exact problem, not just whoever is available.
Skills proven in delivery
Capability is demonstrated through real project work, not just claimed.
Matched to your stack
We select for the frameworks, domain, and seniority your build needs.
Quality enforced
Work is reviewed for scope, quality, DevOps, and bugs with evidence.
Related case studies
All
Geospatial AI · EnergyIdentifying Optimal Microgrid Sites with AI & GIS
Combining satellite imagery, demographic, and infrastructure data to prioritize rural electrification investments.
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Computer Vision · HealthBattling Malaria in Liberia with AI
Smart diagnostic and surveillance tools supporting field workers in low-connectivity environments.
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NLP · Public SectorAI to Combat Misinformation & Disinformation
Multilingual NLP pipelines that detect coordinated narratives and surface verifiable signals.
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Predictive ML · MobilityShort-Term Traffic Congestion Prediction
Spatio-temporal models that forecast congestion and inform city operations in near real time.
Read case studyWhat types of AI developers can I hire?
Omdena provides access to generative AI engineers, ML engineers, AI agent developers, NLP specialists, computer vision engineers, MLOps experts, AI product engineers, and multidisciplinary deployment teams.
Can Omdena integrate AI into existing systems?
Yes. Omdena helps integrate AI systems into CRMs, ERPs, databases, internal tools, APIs, and existing operational workflows teams already use.
What technologies do your AI developers work with?
Our AI teams work with modern AI frameworks and infrastructure including GPT-5, Claude, Gemini, LangChain, LangGraph, TensorFlow, PyTorch, Hugging Face, Pinecone, AWS, Azure, Kubernetes, and MLOps tooling.
What happens after an AI MVP or prototype?
After the MVP stage, organizations often need workflow integration, monitoring, evaluation, infrastructure support, guardrails, and long-term maintenance to move AI into everyday operations.
Can Omdena work alongside internal AI or engineering teams?
Yes. Omdena often works alongside internal AI, engineering, and product teams to support deployment, scaling, monitoring, and operational rollout.
Tell us what you are building. We will match the talent.
Share your stack and goals; we will propose the right engineers or squad.
Hire AI talent