AI/ML Engineering Services in Quebec
A model that's 95% accurate in a notebook and never reaches production is worth nothing. For Quebec teams, I build the full pipeline — training, deployment, monitoring — so ML actually ships.
- Free strategy call
- Transparent pricing
- No lock-in contracts
- Proven results
Get a free strategy call
Tell me about your goals — I'll reply within 24 hrs.
The pipeline is the product
The pipeline that retrains a model, the monitoring that catches drift, and the API that serves it reliably — that's where most ML projects for Quebec businesses actually fail. A model that's 95% accurate in a notebook and never reaches production is worth nothing; I build the whole pipeline, not just the model.
What's included
Model training and tuning
Classical ML and deep learning models trained and tuned against your Quebec business's real data and evaluation criteria.
Techniques used
- Gradient-boosted trees (XGBoost) for structured data
- Deep learning (PyTorch) where the problem genuinely needs it
- Hyperparameter tuning against a real validation set
CI/CD for models
Versioning and reproducible pipelines so retraining your Quebec models is routine, not a manual, error-prone process.
Drift detection and retraining
Automated monitoring that catches model drift before it silently degrades decisions your Quebec business depends on.
Monitoring components
- Input distribution drift alerts
- Performance degradation tracking
- Scheduled or triggered retraining
Clean, documented APIs
Models served through documented APIs your Quebec product team can integrate without needing to understand the internals.
How the engagement runs
Process
Problem framing
We define the exact prediction task and success metric for your Quebec business before any model gets trained.
Training & validation
Models are validated against held-out and, where possible, live data before deployment.
Deployment & monitoring
Production deployment on your Quebec team's existing cloud, with drift monitoring from day one.
Who this is for
Product teams needing ML in production
Quebec teams that have a model idea validated in a notebook but no path to shipping it reliably.
Businesses with an existing but fragile ML setup
Quebec companies whose current models silently degrade with no monitoring in place.
Tools & technology
Cloud & infrastructure
Deployment targets
AWS, GCP or Azure — fitted to your Quebec team's existing stack
No forced migration to a new cloud just to accommodate the ML pipeline.
Note
Computer vision and NLP work, including fine-tuning smaller models, is available where a full LLM isn't the right tool for your Quebec use case.
Why Quebec teams choose Deepak Suhag
Full production pipelines — training, deployment, monitoring — so ML actually ships and keeps working, not just a proof of concept.
How it works
Simple, transparent process — from first contact to measurable results.
Discovery Call
30-minute deep dive into your business, goals, and current marketing channels. No prep needed.
Strategy Blueprint
Full-funnel channel map, budget allocation, KPIs, and a 90-day growth roadmap.
Hands-on Execution
Campaign setup, conversion tracking, creative briefs, and continuous A/B testing.
Scale & Optimise
Weekly ROAS reports, budget reallocation, and monthly strategic reviews.
Tools & platforms
The exact stack I use daily across growth marketing, web development, AI, and automation — no guesswork, no vendor lock-in.
Why work with Deepak
Here's what makes this different from every other option in Quebec.
Practitioner, not a consultant
I manage live campaigns daily — not just strategy decks. Your budget is treated like my own money.
Full-funnel accountability
From first click to closed deal. I track CAC, LTV, and ROAS — not just impressions or CTR.
AI & automation-first approach
I build marketing systems that scale without scaling headcount — using n8n, Make, and AI integrations.
No agency layers
No account managers, no junior execs. You work directly with me — every strategy call, every week.
Everything you need to know
Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.
Ask a question01Can you deploy on our existing cloud in Quebec?
Yes — AWS, GCP, or Azure; I fit into your existing infrastructure rather than forcing a new stack.
02What ML frameworks do you use?
scikit-learn, PyTorch, and XGBoost, depending on the problem — I pick the simplest thing that works reliably.
03Do you do computer vision / NLP work for Quebec clients?
Yes, both — including fine-tuning smaller models where a full LLM isn't the right tool.
04How do you avoid model rot?
Drift monitoring, scheduled retraining, and a documented pipeline your team can run without me.
I've spent 10+ years managing campaigns across D2C, B2B, and SaaS — from small monthly budgets to large seven-figure spends. What I've learnt: most businesses don't need more ad spend. They need smarter systems. That's what I build.