Hire a Machine Learning Engineer: Scale Your AI from Prototype to Production
Taking an ML prototype into production, and who you need to do it
Python Development Company
Python App Development Services
Django, FastAPI and Flask builds from teams who also ship the models. When your product needs AI, the data pipeline and the app are designed together.
Trusted by teams worldwide
Python From Web App to Data Pipeline
Six service lines covering products, services and the data infrastructure underneath them.
01
Django Web Applications
- Full-featured web apps with Django's admin panel, ORM
- Battle-tested security defaults out of the box
02
FastAPI Development
- High-performance async APIs with automatic OpenAPI documentation
- Ideal for AI/ML model serving
03
AI & ML Integration
- Model inference
- LLM-powered features and ML pipelines integrated directly into your…
04
Data Pipelines & ETL
- Scheduled or event-driven data pipelines using Pandas
- Airflow and Celery feeding your analytics systems
Deep Capabilities
Where Python Earns Its Place And Where It Does Not
Honest engineering judgement across the Python stack, backed by our AI and API teams.
AI/ML Is Our Home Turf
Python is our primary language for AI work: model serving, LLM integration and ML pipelines are daily work, not a stretch assignment.
Framework-Agnostic Expertise
Real production experience across Django, FastAPI and Flask means we recommend the right tool, not our favorite one.
Real Data Pipeline Experience
Production Airflow and Celery pipelines processing real data volumes, not a toy ETL script.
Secure by Default
Django's battle-tested security defaults and careful FastAPI/Flask configuration, not an afterthought before launch.
Test-Covered by Default
Pytest coverage for critical paths, so future changes don't silently break existing functionality.
NDA-Protected from Day One
Your idea and model architecture are legally protected before any technical conversation begins.
Free Python Architecture Audit
Scaling a Python App? Get a Free Architecture Audit.
One call and a look at your codebase tells you where the bottleneck really is, what is worth refactoring and a fixed budget. Often it is not what the team assumes.
Get Your Free AuditFree · No obligation · Delivered within 48 hours
Our Process
From Requirement to Production Python
A process that keeps data and application work in step, rather than integrating them at the end.
1
Week 1
Discovery
We map the domain, data sources and scale expectations, then agree a fixed quote.
2
Week 1–2
Design
Schema, service boundaries and pipeline design settled before feature work.
3
Week 2–8
Development
Application and data work built in parallel sprints with weekly demos.
4
Week 6–10
QA & Hardening
Automated tests, load testing and a security review before release.
5
Ongoing
Launch & Support
Deploy with CI/CD, monitoring and ongoing support.
Measurable Impact
Numbers From Shipped Python Builds
AI/ML
Home turf
The same team ships the model and the app around it.
3
Frameworks in production
Django, FastAPI and Flask, chosen per use case rather than per habit.
CI/CD
Test-covered
Suites that run on every push, so releases stay predictable.
2–4 mo
To first release
Typical time from discovery to production.
Case Studies
Work We've Shipped
Products we have shipped across digital health, streaming and voice AI, plus a solution showcase that connects voice calls to Odoo.
LIVE IN PRODUCTION
DeepRest: Anxiety & Sleep Relief App
Paced breathing, a 21-day anxiety reset and night-time audio that keeps working on a bad connection.
95%Users feel calmer
21-dayAnxiety reset
HIPAA-READY BUILD
KALBI: Telecardiology ECG Review
Patients upload an ECG from their phone and a cardiologist returns a signed report inside 24 hours.
24hSigned report
100%Cardiologist reviewed
LIVE IN PRODUCTION
Ideal TV: OTT Streaming Platform
100+ live channels, movies and sport across mobile, web and connected TV, with one billing spine behind it.
100+Live channels
4Platforms shipped
15,000+Viewers
SOLUTION SHOWCASE
Voice AI + Odoo: Conversation to Action
Voice calls connected to Odoo CRM and ERP: identity checks first, a verified order status read from the record, and a clear route to a person.
6Connected workflows
4Steps, call to record
LIVE IN PRODUCTION
AI Voice Agent for Doctors & Hospitals
A HIPAA-ready voice agent that answers every patient call, books into the clinical system and hands over to a person when it should.
70%Front-desk load removed
24/7Calls answered
0Voicemails left
Tech Stack
Our Python Technology Stack
Django
FastAPI
Flask
Celery
Pandas
PyTorch
scikit-learn
Airflow
PostgreSQL
Redis
Kafka
pytest
Docker
Kubernetes
AWS
Industries
Python Across Every Workload
Six workloads where Python is the right call, and where we have shipped it.
01
AI Products
Model-backed features inside real products.
- Inference APIs
- Retraining pipelines
- Evaluation harnesses
02
Data Platforms
Pipelines that feed reporting and models.
- ETL and ELT
- Orchestration
- Data quality checks
03
Fintech Services
Numerical work that has to be exactly right.
- Risk scoring
- Reconciliation
- Reporting
04
Health Analytics
Clinical and operational analytics.
- Cohort analysis
- Predictive models
- Secure data handling
05
Commerce Intelligence
Pricing, demand and recommendations.
- Recommenders
- Demand forecasting
- Pricing models
06
Industrial Analytics
Sensor data turned into decisions.
- Anomaly detection
- Predictive maintenance
- Time-series stores
Client Voices
Trusted By Teams Who Ship
“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
Dionna MilemOwner · My BOB Team LLC
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
Bob SinghalProfessor of Joy · Joyscore Inc
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
Johnathan PefferCEO · Bull's Eye Technologies Inc
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
Pushpender KumarGeneral Manager · A.B. Sugars Ltd
Latest Insights
Notes on Building With Python
Field notes from real builds. No hype, just what worked and what didn't.
How to Implement RAG in Your AI System: Architecture & Process
RAG architecture, integration steps and cost for a Python AI stack
RAG Engineer vs ML Engineer vs AI Architect: Who Should You Hire?
Which AI role your team actually needs, and what each one owns
Free 30-Minute Python Strategy Call
Good Python Starts With One Conversation. Yours Starts Here.
Walk away from one call with a framework recommendation, an architecture direction, a realistic budget range and a timeline. No pitch deck, no obligation.
Scope shortlist
Budget range
Delivery timeline
Book My Free Call
200+Projects delivered
4.9★Client rating
15+Countries served
99.9%Production uptime
FAQ
Questions We Hear Every Week
A focused Python web app or API typically costs $10,000–$30,000. A full-featured platform with AI/ML components, data pipelines and integrations ranges from $40,000–$100,000+ depending on scope.
Django suits full-featured apps that need an admin panel, ORM and batteries-included structure out of the box. FastAPI is ideal for high-performance APIs and AI/ML model serving with automatic OpenAPI docs. Flask fits lightweight services and microservices where you want minimal overhead. We recommend the right fit after understanding your requirements.
Yes. Python is our primary language for AI/ML work. We integrate model inference, data pipelines and LLM-powered features directly into Django or FastAPI applications.
Yes. We build data pipelines using Pandas, Airflow and Celery for scheduled or event-driven ETL workloads, feeding into your analytics or ML systems.
A focused Python API or web app takes 6–10 weeks. A full platform with AI/ML components and data pipelines typically runs 3–6 months.
Yes. Security patches, dependency upgrades, performance tuning and feature additions are available as an ongoing support arrangement after launch.
An Engineer Replies Within One Business Day
Let's Build Your Python Platform
Tell us what you are building and what data it depends on. No sales pitch, just a straight answer on approach, scope, timeline and cost. Prefer email? Use our contact page.
Free 30-min strategy callScoping and honest, practical advice.
Fixed-price quoteDetailed scope and price after discovery, no surprises.
NDA on requestYour idea and code always stay yours.
Prefer to talk now?+91 99114 32288 · info@appther.com
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