Senior Machine Learning Engineer - AI Platform
Tasks
- Build ML pipelines
- Build graph recommendation systems
- Build information retrieval systems
- Deploy and manage ML models
- Deploy models to production
- Design RAG systems
- Develop APIs and services
- Develop machine learning features
- Ensure scalability and observability
- Evaluate model performance
- Fine-tune models
- Implement LLM solutions
- Monitor and troubleshoot ML services
- Train unsupervised and supervised models
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Data Wrangling | Deep learning | Docker | GCP | Graph Neural Networks | Graph theory | Information Retrieval | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Natural Language | Natural Language Processing | Neural Networks | Pandas | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | TensorFlow
Education
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