Hire Expert Python Developers — Django, FastAPI & Data Science Specialists
Pre-vetted Python developers with deep expertise in Django and FastAPI backend development, data engineering with Pandas and PySpark, machine learning with scikit-learn and PyTorch, and AI integration with LangChain and OpenAI. Based in Udaipur, India — available in 48 hours.
Python is the dominant language for backend web development, data engineering, and AI/ML implementation — and the breadth of the language makes the quality of your Python developer selection particularly critical. A junior Python developer can write Django views that technically work but don't scale, Pandas pipelines that exhaust memory at 10% of production data volume, or ML models that perform well in notebooks but fail in production inference. PapaSiddhi Technologies has 100+ Python projects delivered for clients across the USA, UK, Netherlands, Australia, and UAE — Django and FastAPI web applications serving thousands of concurrent users, data pipelines processing millions of records daily, machine learning models in production serving real inference traffic, and AI integrations using LangChain and OpenAI APIs that deliver genuine business automation. Our Python developers are assessed on language depth: decorators, context managers, async/await patterns, generator efficiency, type hints, and the specific framework-level knowledge that separates journeymen from genuine Python engineers.
Why Choose Us
What Our Python Developers Can Do For You
- Build production Django web applications and REST APIs with Django REST Framework — multi-tenant, authenticated, and optimised for scale
- Develop high-performance FastAPI backends for real-time APIs, microservices, and AI inference endpoints with async/await throughout
- Design and implement data engineering pipelines — ETL with Pandas, Apache Airflow scheduling, PySpark for large-scale data processing
- Build machine learning models — classification, regression, NLP, time series forecasting — from data preparation through model training to production deployment
- Integrate LangChain, OpenAI, Claude, and other LLM APIs for AI-powered features: document Q&A, content generation, classification, and agents
- Write data analysis and business intelligence scripts — automated reports, anomaly detection, and KPI calculation pipelines
- Build web scraping and data collection systems with Scrapy, Playwright, or BeautifulSoup for competitive intelligence or data aggregation
- Implement task queues with Celery and Redis for background job processing — email sending, report generation, and ML inference jobs
- Deploy Python applications on AWS Lambda (serverless), EC2/ECS (containerised), or Google Cloud Run with appropriate scaling strategies
- Contribute to data science workflows — Jupyter notebooks, experiment tracking with MLflow, model versioning, and A/B testing frameworks
Skills & Technologies
All developers are assessed on:
Choose Your Hiring Model
Python Developer
2–4 years Python experience
Django or FastAPI web development, standard library proficiency, REST API integration, and basic data manipulation with Pandas. Productive on established Python applications adding features.
Hire NowSenior Python Developer
4–7 years, architecture & data
Full Django/FastAPI application architecture, data pipeline design, performance optimisation, ML model deployment, and LLM integration. Most-requested profile for product and data engineering projects.
Hire NowPython / ML Architect
7+ years, ML systems at scale
ML platform architecture, model serving at scale (TorchServe, Triton), feature store design, MLOps pipeline implementation, and technical leadership for data science and AI teams.
Hire Now💡 Every project is unique. We provide custom quotes based on your specific requirements, team size, and timeline. Contact us for a free consultation and transparent pricing discussion.
Why Hire Through PapaSiddhi
Framework + Data Science Depth
Our Python developers are assessed on Django ORM, FastAPI async patterns, Pandas efficiency, and ML model deployment — not just basic Python syntax. Real production skill, not tutorial knowledge.
Production Python Delivery
Every developer we present has Python code running in production — serving real users or processing real data. We verify the applications, infrastructure, and scale they have delivered.
Start in 48 Hours
Pre-vetted Python developers ready to join your codebase, attend your sprint ceremonies, and deliver the first working Python module or API endpoint within the first week.
Security & OWASP Aware
Our Django developers configure CSRF protection, SQL injection prevention via ORM, secure settings for production (DEBUG=False, SECRET_KEY rotation), Content Security Policy, and OWASP API Security best practices.
Dedicated Python Specialist
Python developers who have spent years with the language make decisions that generalists miss — generator expressions instead of list comprehensions for memory efficiency, async where it matters, and the right ORM patterns for avoiding N+1 queries.
Data Science Handover
Data science deliverables include Jupyter notebooks, documented feature engineering decisions, model cards with performance benchmarks, and production deployment code — not just a pickled model file.
What You Gain by Hiring With Us
Senior Python developers in India with Django, FastAPI, and data science expertise cost 50–60% less than US or UK equivalents — without sacrificing code quality, framework depth, or the ability to work independently on complex problems.
Within 2 weeks of starting, a Python data engineer delivers a working pipeline prototype — extracting from your source system, transforming with Pandas, and loading to your destination — demonstrating the approach before committing to full production delivery.
Over 100 Python projects delivered for clients across the USA, UK, Netherlands, and Australia — Django web applications, FastAPI microservices, data engineering pipelines, ML models in production, and AI integration solutions.
Python automation projects consistently achieve 70–90% reduction in manual data processing time — replacing spreadsheet-based reports, email-triggered exports, and manual reconciliation with scheduled, monitored Python pipelines.
Four Steps. 48 Hours to First Commit.
From sharing your requirements to a pre-vetted developer ready to start — faster than any other route.
Describe Your Python Need
Tell us whether you need web development (Django/FastAPI), data engineering, ML/AI, or general Python automation. Share your existing stack, data sources, and whether this is a new project or ongoing development.
Python Profiles in 24hrs
We present 2–3 pre-vetted Python developer profiles — framework depth assessment, GitHub repositories with production Python code, data engineering experience level, and ML/AI project portfolio where relevant.
Technical Interview
Interview candidates with your Python-specific questions. We can arrange Django ORM exercises, FastAPI architecture discussions, Pandas data manipulation challenges, or ML pipeline design whiteboarding.
First Python Deliverable
Developer joins your environment, reviews existing Python codebase or data sources, and delivers the first working module, API endpoint, or pipeline within the first sprint.
Who Typically Hires Our Python Developers
Challenge
The finance and operations team produces 15 Excel reports every month — each manually compiled from 3–4 different source systems by copying and pasting data. The process takes two people 4 days each month, the reports are always slightly out of date by the time they are distributed, and errors caused by manual steps have led to incorrect management decisions twice in the last year.
Outcome
A Python data engineer who builds automated ETL pipelines extracting from all source systems, transforming and validating the data with Pandas, loading to a PostgreSQL data warehouse, and generating the 15 reports automatically on a schedule — with anomaly detection that flags unexpected values before the report reaches management.
Challenge
Competitors are shipping AI-powered features — document summarisation, intelligent search, content generation, classification — and the product is falling behind. The engineering team knows Python but nobody has LangChain, RAG architecture, or production LLM integration experience. OpenAI API integration attempts have resulted in inconsistent outputs and escalating costs from unoptimised prompts.
Outcome
A senior Python/AI developer who architects the AI feature layer properly — LangChain for LLM orchestration, vector database (Pinecone or pgvector) for document retrieval, prompt engineering for consistent outputs, streaming responses for better UX, cost monitoring and caching to control API spend, and proper fallback behaviour when the LLM API returns unexpected responses.
Challenge
Running a large PHP or Ruby application that the team can no longer hire for and that prevents adopting modern ML and data capabilities. The architecture decision has been made to rebuild on Python, but the team needs Python expertise during the transition — alongside the existing technology — that the current engineering team doesn't have.
Outcome
A senior Python developer who leads the Python layer of the migration — FastAPI microservices extracted from the PHP monolith one bounded context at a time, shared authentication middleware, database abstraction with SQLAlchemy, and the ML features that the new Python architecture enables — running in parallel with the legacy system during the transition period.
Industries Our Python Developers Have Served
Proven Results With Our Python Developers
Common Questions About Hiring Python Developers
Ready to Hire Your Python Developer Developer?
Talk to our team today. We'll shortlist pre-vetted candidates within 24 hours — no commitment required.