
Advanced AI Architect with Machine Learning Expertise
2 days ago
We are seeking an experienced AI/ML Engineer to design and build production-grade AI systems using cutting-edge technologies.
About the Role
The ideal candidate will have a strong background in machine learning, experience with large language models, and expertise in deploying tested ML modules with measurable performance outcomes.
Key Responsibilities:
- Design, build, and deploy end-to-end ML & Generative AI pipelines on Google Vertex AI (Pipelines, Model Registry, Endpoints).
- Work with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)-based systems to power applications like summarization, intelligent agents, and content generation.
- Implement MLOps pipelines to automate model deployment, monitoring, and retraining in production.
- Leverage GCP services such as BigQuery, Cloud Storage, and Cloud Functions to manage large-scale data and deployments.
- Optimize models for scalability, cost, and performance in real-world use cases.
Requirements:
- Strong hands-on experience with Google Vertex AI.
- Proven work in Generative AI / LLMs, including code generation, content creation, intelligent agents, or RAG.
- Solid background in MLOps, including Kubeflow, MLflow, CI/CD, and monitoring.
- Expertise in Python, plus at least one other language (Java, Go, C/C++, R, SQL).
- Practical experience deploying tested ML modules with measurable performance outcomes.
- Proficiency with TensorFlow, PyTorch, Scikit-learn, and Keras.
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