Python engineers who build ML pipelines, data processing systems, and production APIs. Trained in AI-accelerated workflows, they handle everything from TensorFlow models to Django backends with the depth your business needs. Dedicated, full-time, starting at $1,499/mo.
A remote Python developer is a backend and data engineering specialist who builds APIs, machine learning models, data pipelines, and automation systems using Python. They work with frameworks like Django and FastAPI for web services, TensorFlow and PyTorch for AI/ML, and Pandas for data processing — embedded full-time in your team, aligned to your timezone.
Every Python developer in our pool is vetted across backend, data, and AI/ML technologies. Production depth, not tutorial familiarity.
Not generic "Python scripting." Production systems — APIs, ML models, data pipelines — shipped and maintained.
Design and deploy RESTful and GraphQL APIs using Django REST Framework or FastAPI with proper authentication, rate limiting, validation, and documentation. Your developer builds APIs that handle thousands of requests per second, include comprehensive error handling, and ship with auto-generated OpenAPI specifications.
Build machine learning pipelines from data preprocessing through model training, evaluation, and production deployment. Your developer handles feature engineering, hyperparameter tuning, model versioning with MLflow, and serving predictions via API endpoints — not just Jupyter notebook prototypes, but production systems with monitoring.
Build ETL and ELT pipelines that extract data from multiple sources, transform it according to business rules, and load it into your data warehouse or analytics platform. Your developer designs pipelines using Airflow, Celery, or custom solutions that process millions of records daily with proper error recovery and alerting.
Design efficient database schemas, write optimized queries, implement indexing strategies, and set up connection pooling for PostgreSQL and MongoDB. Your developer profiles slow queries, implements caching layers, manages database migrations, and ensures your data layer scales reliably without becoming the bottleneck.
Create automation scripts and systems that eliminate manual processes across your business operations. Your developer connects APIs, processes files, generates reports, syncs data between platforms, and builds scheduled tasks that save your team hours of repetitive work every week with proper logging and failure alerts.
Containerize applications with Docker, deploy to AWS or GCP, set up CI/CD pipelines, and implement monitoring with proper alerting. Your developer ensures that code running in development works identically in production and that you know about problems before your users do.
Production systems our Python developers have shipped — from ML models to high-throughput data pipelines.
An eCommerce platform needed personalized product recommendations that went beyond basic collaborative filtering. A Syentrix Python developer built a full ML pipeline using PyTorch — data preprocessing, feature engineering from purchase history and browsing behavior, model training with A/B test framework, and real-time serving via FastAPI. Average order value increased 18 percent within 60 days. The model retrains weekly on fresh data with automated quality checks that prevent degraded recommendations from reaching production.
A fintech startup needed a secure, compliant API backend for their lending platform. A Syentrix Python developer built the entire backend using Django REST Framework with PostgreSQL, implementing KYC verification integrations, loan calculation engines, payment processing webhooks, and audit logging for regulatory compliance. The API handles 2,000+ concurrent users with sub-200ms response times. Security audit passed on the first attempt with zero critical findings.
A logistics company needed to consolidate data from 12 different sources — ERPs, IoT sensors, partner APIs, and manual spreadsheets — into a unified analytics platform. A Syentrix Python developer built an Airflow-orchestrated pipeline processing 10 million records daily with data validation, deduplication, and transformation logic. Processing time dropped from 8 hours to 45 minutes. Data quality issues that previously took days to trace are now caught and flagged automatically.
Fixed monthly rates. No hourly markups. No recruiter fees. Full-time, dedicated Python talent for AI/ML, data, and backend.
Full-time, dedicated Python developer
2-3 specialists for AI/ML & data projects
All plans include onboarding, tool integration, dedicated client success manager, and 30-day replacement guarantee.
See full pricing details →You need a developer who can take ML models from research notebooks to production systems with proper serving, monitoring, and retraining pipelines.
You process large volumes of data from multiple sources and need someone who can build reliable, maintainable ETL/ELT pipelines that handle growth.
You need secure, scalable APIs for fintech, healthcare, or enterprise platforms where reliability, compliance, and performance are non-negotiable.
If you need someone to create charts in Excel or build basic dashboards, a data analyst or BI specialist is more cost-effective than a Python developer.
If your product's complexity is primarily in the UI layer — interactive dashboards, complex forms, animations — a React developer will deliver more value than a Python backend specialist.
Everything you need to know about hiring a remote Python developer through Syentrix.
A Syentrix Python developer builds backend APIs with Django and FastAPI, machine learning models with TensorFlow and PyTorch, data processing pipelines with Pandas and NumPy, and automation scripts that connect your business systems. They handle everything from training recommendation engines and building computer vision systems to designing RESTful APIs for fintech platforms and creating ETL pipelines that process millions of records daily. Our developers are trained in AI-accelerated workflows, shipping production code significantly faster than traditional developers.
Our vetting has four stages designed to separate production ML engineers from tutorial-level practitioners. Stage one reviews deployed models, not Kaggle notebooks — we look for production model serving, A/B testing, and monitoring. Stage two is a live assessment building a working ML pipeline under time constraints. Stage three tests Python-specific depth across async programming, memory management, and framework-specific patterns. Stage four is a two-week paid trial. Our acceptance rate is 3.9 percent.
A data scientist focuses on analysis, experimentation, and model research — exploring datasets and prototyping in notebooks. A Python developer takes those prototypes and turns them into production systems with APIs, data pipelines, deployment infrastructure, and monitoring. If you need production ML systems or backend APIs, hire a Python developer. Many of our Python developers have data science backgrounds and can handle both modeling and engineering. For early-stage AI projects, a Python developer with ML skills is usually the most efficient first hire.
Yes. Our Python developers routinely integrate with existing stacks across web, data, and infrastructure layers. They work with Django, FastAPI, Flask, and Celery for web frameworks. For databases, they handle PostgreSQL, MySQL, MongoDB, and Redis. For cloud, they deploy to AWS, GCP, and Azure. For data tools, they work with Airflow, dbt, Spark, and Kafka. For ML infrastructure, they use MLflow and Weights and Biases. Most developers contribute meaningful code within the first week of onboarding.
By day 30, expect onboarding completion, codebase audit, and the first shipped improvement. By day 60, your developer should own a significant domain and have delivered measurable performance improvements. By day 90, they are fully integrated, shipping independently, and driving architecture decisions. Clients have reported 50 percent reduction in data processing time, ML models improving conversion by 15 to 25 percent, and API redesigns cutting server costs by 40 percent.
Python powers the backend and the AI layer. Build the complete team.
Tell us what you are building. We will match you with a pre-vetted Python developer within 48 hours — no commitment, no cost for the consultation.