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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Platform Software Engineer - **Company:** Kneron, Inc. - **Location:** San Diego, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Testing (Software), HTML, JavaScript (Programming Language), Amazon Web Services, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Control, Python (Programming Language), Machine Learning, MongoDB, Tensorflow, SQLite, SQL Databases, Web Services, Software Organization, Cloud Platform System, Flask (Web Framework), Delivery Pipeline, Apache Spark, Deep Learning, Keras, Kubernetes, Information Technology, Machine Learning Operations, Docker - **Published:** July 25, 2026 - **Apply:** http://www.kneron.com/careers/68/ ## About the Role * MS Computer Science, Engineering, Technology, Mathematics, Statistics, or related field with 3+ years of industry experience or BS + 5 years' experience * Hands on coding experience with Python building end-to-end systems as an MLOps Engineer, Machine Learning Engineer, Software Engineer, or equivalent * Experience in ML model development, orchestration, deployment, monitoring, support and creating and maintaining deployment pipelines with CI/CD tools * Experience with cloud computing platforms like AWS, GCP, or other cloud providers developing with containers (e.g., Docker, Kubernetes) in cloud computing environments * Experience with database, such as SparkSQL, MongoDB, SQL, and SQLite Preferred: * Exposure to deep learning approaches and modeling frameworks (Py Torch, TensorFlow, Keras, etc.) * Experience building ML web service, such as Flask, JavaScript, HTML, and Django.· Familiarity with Kubeflow or similar platforms like MLflow or SageMaker * Experience building and evaluating machine learning models * Strong understanding of software testing, benchmarking, and continuous integration * Experience mentoring and teaching software development best practices to data scientists * Ability to translate complex technical concepts to collaborations, decision makers, and non-technical audiences The ideal candidate will have a passion for generating new ideas, be a proactive and quick learner, and be able to demonstrate creativity and innovation. ## Description * Collaborate with data engineers, data scientists, and product teams to guide the translation of R&D prototypes into stable, testable, and maintainable production services * Develop and deploy tools and services for our team to accelerate the production lifecycle and assessment of production readiness * Help lead team members in executing continuous integration and continuous delivery (CI/CD) activities to release code into a Production environment * Act as a consultant within the Science Organization on software engineering principles, code quality, and performance optimization techniques * Apply software engineering rigor and best practices to machine learning, including CI/CD and automation * Build model performance monitoring capabilities and data monitoring tools ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)