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Builds and maintains custom case-management systems in Azure using Python, FastAPI, and REST APIs for internal risk and compliance teams.
Build and migrate Python-based video-surveillance platforms using Django Rest Framework, async ops, PostgreSQL, and Redis.
Build and maintain server-side Python services for a data-science platform that trains models, creates APIs, and visualizes results.
Design and build scalable Python services and analytical apps for energy and trading, using FastAPI, Airflow, PostgreSQL, and Kubernetes.
Lead Python Engineer designs and builds scalable data-processing back-end services and APIs for client projects, focusing on Python, cloud data platforms, and data pipelines.
Build and optimize scalable Python pipelines and cloud-native data workflows; own development from code to production in a modern data platform.
Build and deploy scalable Python services for energy-trading platforms using FastAPI, PostgreSQL, Airflow, and Kubernetes in a fast-paced product team.
Build and maintain data pipelines in Python to ensure high-quality B2B lead data for a fast-growing marketing platform.
Build and maintain Python-based software and AWS-hosted data lakes/warehouses for a client, collaborating with cross-functional teams to meet business needs.
Builds and maintains Python-based AI systems for an LLM-powered e-commerce portal in the entertainment sector, focusing on clean code and innovation.
Build and migrate large-scale e-commerce systems using Python, with Django or TypeScript as a plus.
Mid-Senior Python developer building and deploying applications using OOP, APIs, Docker, and CI/CD pipelines for a global IT services firm.
Build and maintain Odoo modules and custom Python applications for enterprise clients, focusing on logistics and finance projects.
Build and maintain a Python-based ETL framework that ingests, transforms, and delivers financial data using Spark, Azure Databricks, and Airflow.
Build and maintain Python-based applications using Django, Flask, and Pandas, troubleshoot issues, and collaborate with teams to deliver high-quality software solutions.
Build and maintain scalable Python microservices and APIs using FastAPI, Kafka, and cloud-native tools like Docker, AKS, and Helm.
Build and maintain scalable RESTful APIs and data pipelines in Python using Django/FastAPI, Azure/AWS, and pytest, handling both relational and NoSQL databases.
Build and maintain Python applications for credit risk modeling and data processing, using libraries like NumPy and Pandas, SQL, and cloud-based CI/CD pipelines.
Build and maintain AI-driven Python applications using LangChain/LangGraph, integrating LLMs via APIs, and designing agentic AI workflows with memory and planning.
Build and maintain scalable Python backends, RESTful APIs, and event-driven microservices using Django, FastAPI, and Kafka on Azure.
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