> Markdown version of [/jobs/ext/2155379-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2155379-ai-ml-engineer). 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). --- # AI/ML Engineer - **Company:** StoneGate-Technologies LLC - **Location:** Cupertino, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Distributed Systems, Apache Hadoop, Monitoring of Systems, Python (Programming Language), Machine Learning, NoSQL, NumPy, Performance Tuning, Tensorflow, SQL Databases, Data Processing, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Grafana, Apache Spark, Pandas, Kubernetes, Build Tools, Machine Learning Operations, Software Version Control, Docker, Microservices - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/8ddba81a-3294-41c0-9f86-cc2ea342d0ce ## About the Role 5 10+ years of experience in AI/ML engineering * Proven experience collaborating directly with Data Scientists on model development, feature engineering, and productionization * Strong handson experience with: + Python (NumPy, Pandas, ScikitLearn, PyTorch, TensorFlow) + ML pipelines, training, validation, deployment + Data processing (Spark, Hadoop, distributed systems) * Cloud experience: AWS or Google Cloud Platform * Experience building endtoend ML workflows * Strong understanding of MLOps, CI/CD, automation, model versioning * Experience with SQL and NoSQL databases * Ability to work onsite 3 days/week (Tue Thu) * Excellent communication and crossfunctional collaboration skills NicetoHave Skills * Experience with LLMs, NLP, embeddings, vector databases * Familiarity with feature stores, model registries, ML observability tools * Experience with Docker, Kubernetes, microservices * Experience supporting Data Science experimentation and scaling models to production * Background in data governance, privacy, and compliance ## Description We are seeking an experienced AI/ML Engineer with strong handson experience in machine learning development, model deployment, and data engineering. The ideal candidate has worked closely with Data Scientist teams, supported model experimentation, and built productiongrade ML systems., * Work closely with Data Scientist teams to build, optimize, and deploy ML models * Develop scalable ML pipelines, automation frameworks, and data workflows * Support model experimentation, tuning, and performance optimization * Deploy ML solutions using cloudnative MLOps best practices * Build tools for model monitoring, drift detection, and reliability * Collaborate with engineering, analytics, and product teams * Troubleshoot complex ML pipeline issues and drive rootcause analysis * Maintain documentation, runbooks, and engineering standards * Ensure production readiness and continuous improvement of ML systems ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [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)