AI / ML
Engineers from India for Your Team
Most AI hiring goes wrong by staffing research where the work is engineering. Add engineers who put models into production and keep them there.
What Your Engineers Take On
Typical work our AI engineers take on inside DACH enterprise teams.
ML Model Development
Build, train, and validate machine learning models that solve real business problems for DACH enterprise clients.
NLP & Computer Vision
Develop natural language processing and computer vision solutions — from document understanding to quality inspection systems.
MLOps & Model Deployment
Build and maintain ML pipelines, model registries, and deployment infrastructure that take models from notebook to production.
LLM Integration & RAG
Build retrieval-augmented generation pipelines, fine-tune language models, and integrate LLM capabilities into enterprise applications.
Data Analysis & Feature Engineering
Explore datasets, engineer features, and build the data foundations that make machine learning models effective.
AI Strategy & Proof-of-Concepts
Help DACH enterprises identify AI opportunities, build proof-of-concepts, and validate whether machine learning is the right approach.
How We Vet Your Shortlist
Every candidate on your shortlist has cleared the same checks — typically within 3-5 business days.
- Verified European project experience, checked before the profile reaches you
- Technical skills assessed with our AI-based evaluation, not a self-reported CV
- Communication assessed for direct collaboration with your team, in English
- Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with cloud ML services (Azure ML, AWS SageMaker, Vertex AI, or similar)
- MLOps experience — model versioning, monitoring, CI/CD for ML pipelines
Our published sample profile is an engineer building retrieval-augmented generation on PostgreSQL and pgvector — the same format your shortlist arrives in. Read the sample profile
Why Hire AI / ML Through JoinNow
Your contract is with a Dubai company; the work is delivered by an established team in Bangalore.
DACH Project Experience
Every AI engineer has worked on European enterprise projects before. No first-timers learning your business on your budget.
One Contract, No Placement Fee
You contract with JoinNow FZCO in Dubai and receive one invoice in EUR, USD, or AED. Rates start at €25/hour, with employment and statutory compliance in India already included.
90-Day Replacement
If someone leaves or is not the right fit within the first 90 days, we run the search again at no additional placement cost. Once per placement, and it covers the search — fees for work already done stay payable. Staff augmentation runs for a three-month minimum term, then month to month on 30 days' notice.
Hiring Questions
What does an AI/ML engineer from India cost?
Rates start at €25/hour. What moves them is whether the role is applied ML on a platform you already run or building that platform, since production experience prices differently from notebook work. There is no placement fee and no recruitment markup on top — the rate you agree is the rate you are invoiced, in EUR, USD, or AED.
How quickly can an ML engineer start on our project?
You usually receive a curated shortlist within 48 hours for mainstream ML profiles; combinations such as LLM serving plus a regulated-data background take 3-5 business days. Start dates depend on the notice period of the individual you select, which we confirm on the profile.
Do they build production ML systems or only prototypes?
Production is the filter. A notebook that reaches a good score and a service that holds up under load with monitoring, retraining and cost control are different disciplines, and we shortlist for the second unless you ask for research work specifically.
Whose data and model platform do they work in?
Yours. This is staff augmentation: the engineer joins your team and works in your data platform, your model registry and your cloud accounts, under your access rules and your day-to-day direction. We do not take ownership of your models or run a separate delivery track.
Can we start with one ML engineer and grow the team?
Yes. After a three-month minimum term an engagement continues month to month on 30 days' notice, so you can add a data engineer or an MLOps specialist alongside as the workload grows, or move to a dedicated team model with its own lead.
Explore More Skills
Are you a AI engineer?
We hire AI engineers into our Bangalore team for DACH projects.
Express InterestNeed AI / ML Capacity on Your Team?
Tell us the skills, the seniority, and the start date. Your shortlist usually follows within 48 hours.