> Markdown version of [/jobs/ext/2944987-python-developer](https://www.wearedevelopers.com/jobs/ext/2944987-python-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Python Developer

- **Company:** Intersources Inc.
- **Location:** Fremont, CA, United States
- **Experience:** Starter
- **Contract:** Temporary contract
- **Skills:** Training Data, Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Extract Transform Load (ETL), Data Transformation, Data Structures, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Performance Tuning, Query Optimization, Tensorflow, Software Engineering, SQL Databases, Data Processing, Cloud Platform System, Feature Engineering, Pytorch, Deep Learning, Pandas, Containerization, Scikit Learn, Kubernetes, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines, Docker
- **Published:** September 16, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/32076783#/jobs/32076783

## About the Role

· 3+ years of hands on experience
· Proven experience as a Python Developer with hands-on expertise in building production-grade applications
· Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design)
· Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
· Proficiency in data handling and manipulation using libraries like NumPy and Pandas
· Experience with SQL databases for managing and accessing training data
· Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or GCP)
· Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred)
· Strong debugging, optimization, and performance-tuning skills for both code and AI models

Key Focus Areas
· Python Development: Core programming language for AI/ML applications
· AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn
· Data Pipelines: ETL, preprocessing, and feature engineering for large datasets
· SQL Databases: Schema design, query optimization, and handling structured data
· Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions
· Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance
· Cloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes

## Description

Python Developers to support Service Team
We are looking for Sr candidates 5-10 years of experience.
Team: Diverse team with a mix of Senior, Mid-level, and Junior Developers working in a POD model structure. The QA team operates independently. The environment is fully Agile with biweekly sprints and releases, and it moves at an extremely fast pace.
Day-to-Day:
· Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks
· Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization
· Build and optimize data pipelines for training, validating, and deploying machine learning models at scale
· Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions
· Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables
· Optimize AI/ML workloads for speed and scalability across distributed computing environments
· Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems


## Related Videos

- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)