
Data Science Leader
15 hours ago
We are seeking an experienced professional to lead the design, development, and deployment of advanced AI systems using cutting-edge technologies.
Key Responsibilities:
- Design and deploy end-to-end machine learning pipelines on Google Vertex AI platform.
- Work with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)-based systems to power applications like summarization and content generation.
- Implement ModelOps pipelines to automate model deployment, monitoring, and retraining in production environment.
- 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.
Requirements:
- Strong hands-on experience with Google Vertex AI platform.
- Proven work in Generative AI / LLMs field.
- Solid background in ModelOps (Kubeflow, MLflow, CI/CD, monitoring).
- Expertise in Python programming language plus at least one other language (Java, Go, C/C++, R, SQL).
- Practical experience deploying tested machine learning modules with measurable performance outcomes.
- Proficiency with TensorFlow, PyTorch, Scikit-learn, Keras libraries.
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