Senior AI Engineer
Tasks
- Build and scale MLOps pipelines
- Collaborate with data AI and platform engineers
- Create embedding workflows and semantic search
- Deploy and monitor AI models in production at scale
- Design develop and deploy AI agent systems
- Develop and scale end to end AI applications
- Implement retrieval-augmented generation pipelines
- Integrate tools and orchestration into production
- Manage AI workloads on Google Cloud Platform
- Refine AI solution design and support planning
- Research and develop AI models for NLP computer vision and more
Perks/Benefits
Skills/Tech-stack
Cloud platform | Computer Vision | Deep generative models | Embeddings | Generative Models | Google Cloud | Google Cloud Platform | Graph Neural Networks | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Orchestration | Production Monitoring | Python | Reinforcement Learning | Retrieval-Augmented Generation | Semantic Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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