> Markdown version of [/jobs/ext/145821-senior-gcp-ml-engineer](https://www.wearedevelopers.com/jobs/ext/145821-senior-gcp-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).

---

# Senior GCP ML Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Application Frameworks, Artificial Neural Networks, Cluster Analysis, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Scikit Learn, Machine Learning Operations
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=761ceee2678b45af

## About the Role

datasets Collaborate with product, engineering, data, and cloud teams Ensure model performance, scalability, security, and compliance Mentor junior ML engineers and review technical designs and code Contribute to AI best practices, standards, and reusable frameworks Required Skills & Experience Experience in AI/ML, Data Science, or Advanced Analytics Strong hands-on experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn) Solid understanding of ML algorithms: regression, classification, clustering, NLP, time series Experience with deep learning, neural networks, transformers, or LLM-based approaches

## Description

Note: Due to client compliance requirements, we are unable to accept third-party or C2C (Corp-to-Corp) resumes for this role. Additionally, candidates requiring sponsorship now or in the future will not be considered Title:- Senior AI/ML Engineer Location:- Pittsburgh, PA (onsite) Duration:- 12+ Months Role Summary We are seeking a Senior AI/ML Engineer to design, build, and deploy scalable machine learning solutions that drive business outcomes. The role involves end-to-end ownership of ML models, collaboration with data, platform, and business teams, and mentoring junior engineers. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for production use Translate business problems into AI/ML solutions with measurable impact Perform data analysis, feature engineering, model training, validation, and tuning Build and maintain ML pipelines (MLOps) for training, deployment, monitoring, and retraining Work with large-scale structured and unstructured


## Related Videos

- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [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)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)
- [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)