Senior Machine Learning Engineer - Research
Tasks
- Apply state of the art machine learning techniques
- Build data driven machine learning solutions
- Build deploy and own production NLP pipelines
- Develop NLP systems for voice agents and LLM applications
- Implement evaluate reasoning planning and memory modules for agents
- Implement post deployment monitoring and continual learning
- Optimize machine learning models for performance scalability and efficiency
- Propose evaluation metrics and establish benchmarks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BERT | Cloud platform | Clustering | Distributed Training | Docker | Entity recognition | GPU | Google Cloud | Google Cloud Platform | Inference Optimization | Information Retrieval | Kafka | Kubernetes | LLM | Langchain | Langgraph | Language Generation | Language Processing | Model Inference | Model Inference Optimization | Named Entity Recognition | Natural Language | Natural Language Generation | Natural Language Processing | PubSub | PyTorch | Python | Question Answering | REST API | Text Classification | Transformers
Education
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