Machine Learning Engineer
Tasks
- Apply NLP and transformer models
- Build entity resolution models
- Design and build ML data pipelines
- Design evaluation frameworks and metrics
- Develop information extraction models
- Ensure data governance and responsible AI usage
- Implement human in the loop feedback
- Implement monitoring and observability
- Integrate ML models into production systems
- Mentor junior engineers
- Optimize pipelines using distributed and streaming technologies
- Perform Named Entity Recognition
- Use LLMs for data extraction and augmentation
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | Data Deduplication | Distributed Systems | Entity Resolution | Entity recognition | Generative AI | Knowledge graphs | LLM orchestration | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | Named Entity Recognition | Natural Language | Natural Language Processing | PyTorch | Python | SQL | Scikit-learn | Snowflake | Streaming Technologies | TensorFlow | Transformer Models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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