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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Developer with ML experience - **Company:** Shield AI - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, NoSQL, NumPy, Tensorflow, Software Engineering, SQL Databases, Data Streaming, Pytorch, Apache Spark, Spring-boot, Pandas, Scikit Learn, Kubernetes, Apache Kafka, Codebase, Machine Learning Operations, Api Design, Docker, Legacy Systems, Microservices - **Published:** August 26, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pf1v1qeogw ## About the Role We are seeking an independent, driven, and adaptable Python Developer with a solid Machine Learning and MLOps background to join our team. In this role, you will bridge the gap between core software engineering, intelligent system design, and production infrastructure-taking ownership of models and features from concept to cloud deployment. If you thrive in a fast-paced, dynamic environment, love solving complex architecture problems with minimal hand-holding, and pride yourself on picking up new technologies at lightning speed, this role is for you., * Core Python Expertise: 3+ years of professional experience developing software in Python (clean architecture, async code, testing frameworks, and API development). * Machine Learning Background: Hands-on experience with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Pandas, NumPy) and model lifecycle management. * MLOps & Infrastructure: Proven experience deploying and maintaining ML models in production using Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure). * Independent & Self-Motivated: Proven track record of taking initiative, driving projects forward with minimal supervision, and figuring out ambiguous problems on your own. * Quick Learner: Demonstrated ability to rapidly absorb new concepts, technologies, and codebases. * Fast-Paced Adaptability: Ability to prioritize effectively, context-switch when necessary, and ship reliable code in a fast-moving environment. * Availability to join evening calls (till 21:00) * English level - Upper Intermediate or higher Nice to have * Java Knowledge: Familiarity with Java (e.g., Spring Boot, enterprise integrations, working within legacy systems) is a strong plus. * Data Engineering: Exposure to SQL/NoSQL databases and data streaming tools (Kafka, Spark, Airflow). ## Description * Software Development: Design, build, and maintain clean, efficient, and scalable Python codebases, APIs, and microservices. * ML Production & MLOps: Integrate, optimize, deploy, and monitor machine learning models in live production environments using automated CI/CD and containerized infrastructure. * System Ownership: Take full end-to-end ownership of projects-from initial architectural discussions through cloud infrastructure setup, testing, and deployment. * Rapid Adaptation: Quickly learn and adopt new tools, libraries, and domain frameworks as project priorities evolve. * Collaboration: Partner with product managers and cross-functional teams to translate complex business needs into resilient technical solutions. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! 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