Senior Machine Learning Engineer
Tasks
- Apply NLP and LLM advancements to improve performance and cost
- Build AI ML data extraction systems
- Collaborate with product and engineering teams on requirements
- Define implement evaluation frameworks for extraction quality
- Design train deploy NLP and LLM models
- Develop extraction workflows using document parsing chunking embeddings RAG
- Follow Agile practices and improve automation workflows
- Implement CI/CD pipelines for ML
- Integrate extraction components into data pipelines
- Monitor log and deploy ML models in production
- Perform design and code reviews
- Support technical interviews and onboarding
Perks/Benefits
Skills/Tech-stack
Agile | Airflow | CI/CD | Chunking | Docker | Document parsing | Embeddings | Information Extraction | Kafka | Kubernetes | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Text processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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