Hire AI/ML Developer
Add language model and machine learning skills to your product team.
An AI/ML developer builds product features that use language models and machine learning models, then connects them to real software. If you want to hire an AI/ML developer, NetOfficials places one in your team as a dedicated developer or as part of an extended team, with a named delivery lead and hours agreed for your time zone. For keeping models running in production, see our MLOps services.
- Engagement models
- 3
- Every project has
- A named lead
- Signed before details
- Mutual NDA
- Confirmed in the contract
- Your IP
What You Get from an AI/ML Developer
The work that turns a model from a demo into a feature your users can rely on.
Language Model Features
Assistants, summaries, search and drafting tools built on hosted or self-run language models.
Prompt and Retrieval Design
Prompts, document retrieval and guardrails shaped around your own content.
Model Training and Tuning
Classification, scoring and forecasting models trained on your data and tuned until they are useful.
Product Integration
Model calls wrapped in APIs and queues so the rest of your software can use them.
Evaluation and Testing
Test sets and review routines that show whether answers are right before users see them.
Deployment and Monitoring
Serving, cost tracking and drift checks so quality does not quietly slip.
When to Hire an AI/ML Developer
Businesses usually look for this role in one of three situations.
-
Product teams
Ship an AI feature inside your product
Your roadmap needs a smart feature and nobody on the team has built one before.
- Pick a use case with a clear measure
- Prototype, then harden for production
- Work alongside your engineers
-
Operations leaders
Put language models to work on documents
Staff spend hours reading, sorting or answering the same kinds of text.
- Review the document flow first
- Build with checks for wrong answers
- Hand the result to your team to run
-
Teams with a stalled prototype
Rescue a proof of concept
A demo impressed people but never reached users, and you need it made dependable.
- Audit what exists and what fails
- Add evaluation and monitoring
- Plan the path to release
AI/ML Developer or Data Scientist?
The two roles overlap, and buyers often hire the wrong one first. We help you choose in the brief, based on what you need at the end: a working feature or an answer from your data.
An AI/ML developer is usually the better first hire when
- You are building a feature that users will touch
- The model must sit inside an existing application
- You plan to use hosted language models
- You need it deployed, monitored and maintained
| Consideration | AI/ML developer | Data scientist |
|---|---|---|
| Main output | A working feature in your product | Analysis, findings and trained models |
| Typical question | How do we add this to the app? | What does our data tell us? |
| Language model work | Core part of the role | Possible, but not the usual focus |
| Production code and APIs | Central to the job | Often handed to engineers |
| Exploring messy historical data | Some | Central to the job |
| Best for | Shipping AI features | Finding patterns and proving a model is worth building |
How Hiring Works
Every project moves from a written scope to agreed review points, so you always know what is happening and what comes next.
Brief and NDA
We sign a mutual NDA, then you describe the feature, the data and the models you have considered.
Signed NDA and briefTeam Shape
We agree whether one AI/ML developer, a small team or an add-on to your engineers fits, and which engagement model applies.
Agreed team and modelScope and Hours
The senior engineer who scopes the work writes down the first use case, the success measure and the hours that overlap with yours.
Written scopeOnboarding
Your named delivery lead sets up access to code, data and tracking so the developer starts on real tasks.
Developer working in your setupSprints and Demos
Work runs in Jira sprints with a demo at the end of each. You review answers, adjust and change team size as agreed.
Demo every sprint
What Affects the Cost of Hiring an AI/ML Developer
We do not publish rates, because needs differ widely. These are the points that decide the cost, and we confirm each one in the written scope.
Seniority required
Designing a whole AI system needs more experience than extending a feature that already works.
Team size
One developer, or a developer with a data engineer and tester, changes the total.
Duration
A short prototype and an open-ended product team are priced differently.
Engagement model
Project delivery, a dedicated team and team extension each carry their own terms.
Model approach
Calling a hosted model is lighter than training or fine-tuning your own.
Data readiness and running costs
Messy data needs preparation first, and model usage fees depend on volume.
Why Hire an AI/ML Developer Through NetOfficials
The working terms below are part of every engagement, not extras.
One Cross-Functional Team
Design, development, testing and DevOps run through a single team, so decisions stay connected.
Senior From Day One
The senior engineer who scopes your work stays involved while it is delivered.
You Own Everything
IP assignment is confirmed in the contract, and you receive the full source code and documentation at handover.
Mutual NDA
We sign a mutual NDA before you share the details of your project.
Your Working Hours
We agree a communication window that suits your time zone at the start.
Visible Progress
Work is tracked in Jira, with a demo and your feedback at the end of every sprint.
Skills and Tools of an AI/ML Developer
We recommend technology for your project and your team's future, not for our convenience. Three questions guide every choice.
Will it handle your load?
We size the design for your expected users, data and growth, so it does not need rebuilding when the business grows.
Will it fit your systems?
We check how the stack connects with the tools, databases and partners you already rely on before we commit to it.
Can you support it later?
We favour well-supported technology with a wide talent pool, so your own team or any future partner can maintain it.
Technologies we work with
- LLM APIs
TensorFlow
Python
Node.js
GraphQL
PostgreSQL
MongoDB
AWS
Azure
Google Cloud
DockerFlexible Ways to Work With Us
Pick the model that fits where your project is today. You can move between them as it grows.
Project Delivery
We deliver an agreed scope, timeline and price.
- Written discovery scope
- Milestone reviews
- Best for a clear first release
- For ongoing work
Dedicated Team
A team that works only on your project, led by a named delivery lead.
- Cross-functional team
- Sprint demos and planning in Jira
- Scale the team up or down
Team Extension
Specialists who join your existing team, tools and processes.
- Works in your process and tools
- Agreed overlap hours
- Best for adding a missing skill
More Roles and Related Pages
Hiring often goes together with the matching service or technology page. These links cover the pages people usually read next.
Hiring FAQs
What does an AI/ML developer do?
They build software features that use machine learning and language models, and connect those features to your product. They also test the answers, deploy the model and watch how it behaves over time.
What is the difference between an AI/ML developer and a data scientist?
An AI/ML developer focuses on shipping a working feature. A data scientist focuses on analysing historical data and proving what a model can predict. Many projects use both, and we advise on the order.
Can the developer work with hosted language models?
Yes. Using a hosted model is often the quickest route, and we weigh it against running your own in the scope, looking at cost, privacy and quality.
Will you see our data?
Only what you choose to share. A mutual NDA is signed before you send anything, and access to data is agreed with you in the scope.
Who owns the models and code that are built?
The contract states that rights in the models, prompts and code written for you pass to you. Weights, source and documentation come to you when the work is handed over.
Can I add an AI/ML developer to my existing team?
Yes. That is the team extension model. The developer joins your sprints and tools, and a named delivery lead on our side owns the engagement.
Ready to Add an AI/ML Developer?
Share a few details. A senior engineer reads every brief and replies with questions and a suggested next step.
- We review your briefAnd reply with questions
- We sign a mutual NDABefore you share the details
- You get a written scopeTeam, timeline and model, before any commitment