ML Engineer
Tasks
- Build NLP models for information extraction
- Collaborate with cross-functional teams
- Deploy machine learning models
- Design machine learning models
- Detect anomalies in datasets
- Develop classical machine learning models
- Develop machine learning data pipelines
- Integrate models into production systems
- Perform geospatial data quality analysis
- Perform model experimentation and development
- Productionize and deploy machine learning at scale
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Anomaly Detection | Classification | Clustering | Data Mining | Feature Engineering | Geospatial Data | Information Retrieval | KNN | Keras | Language Models | Language Processing | Large Language Models | Natural Language | Natural Language Processing | Naïve Bayes | Neural Networks | NumPy | Pandas | Predictive Modeling | Prompting | PyTorch | Python | Random Forest | SVM | Scikit-learn | Statistical modeling | TensorFlow
Education
N/A
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