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4 days ago
We are seeking a seasoned expert in machine learning engineering with extensive knowledge of cutting-edge technologies. This is a hands-on role where you will design, build, and deploy production-grade AI systems using Google Cloud services.
Main Responsibilities:
- Design, develop, and deploy end-to-end ML pipelines on Google Vertex AI.
- Work with Large Language Models (LLMs) to power applications like summarization, intelligent agents, and content generation.
- Implement Model Operations (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.
- Collaborate with cross-functional teams to translate business problems into production-ready AI solutions.
Key Qualifications:
- Proven experience with Google Vertex AI and Generative AI/LLMs.
- Solid background in MLOps, including Kubeflow, MLflow, CI/CD, and monitoring.
- Expertise in Python and at least one other language, plus proficiency in TensorFlow, PyTorch, Scikit-learn, and Keras.
- Practical experience deploying tested ML modules with measurable performance outcomes.
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