> Markdown version of [/jobs/ext/3845508-mlops-engineer-with-python-core-and-ml-only-w2](https://www.wearedevelopers.com/jobs/ext/3845508-mlops-engineer-with-python-core-and-ml-only-w2). 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). --- # MLOps Engineer with Python Core and ML - Only W2 - **Company:** Dinamica Inc - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Microsoft Azure, Software Quality, Continuous Integration, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Engineering, Pytorch, Large Language Models, Kubernetes, Azure AKS, Machine Learning Operations - **Published:** October 20, 2026 - **Apply:** https://www.dice.com/job-detail/db8bbe84-c88d-4707-a9ff-82a9fe6ca657 ## About the Role Location/s: USA any, or ideally San Jose, CA; San Diego, CA; Wilton, CT Job Type: W2 Contract Experience Level: Mid-level to Senior Must Have Skills: Python, Azure, ML, AKS, PyTorch Requirements: * Hands-on experience developing, fine-tuning, and deploying ML and foundation models in production. * Strong Python skills and expertise with PyTorch and/or TensorFlow. * Experience building and operating MLOps pipelines, including CI/CD, model lifecycle management, and monitoring. * Experience deploying ML workloads on Azure and Kubernetes (AKS). * Strong software engineering practices, including testing, code quality, and automation. * Ability to work effectively with ML researchers, data scientists, and cross-functional engineering teams. * Experience managing multi-GPU-based workloads and optimizing model performance. Nice to Have: * Experience with distributed training frameworks and large-scale model training. * Familiarity with ML platform engineering, including training infrastructure and workload orchestration. * Exposure to platform operations, reliability, governance, and compliance requirements. * Experience mentoring engineers or leading technical initiatives. ## Description Role: MLOps Engineer with Python Core and ML