Applied AI ML Lead [Multiple Positions Available]
Tasks
- Build Retrieval Augmented Generation systems
- Build data pipelines for prompt engineering
- Conduct supervised and unsupervised model evaluation
- Deploy OCR models for entity recognition
- Deploy explainable AI techniques
- Design prompt based models on LLMs
- Develop prompt engineering techniques
- Develop scalable machine learning frameworks
- Develop tools for model training evaluation optimization
- Implement NLP powered reconciliation frameworks
- Integrate structured data into document workflows
- Optimize prompt engineering pipelines for entity extraction
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
ARIMA | Apache Spark | Bash | Bitbucket | Bootstrapping | CNN | Classification | Clustering | Decision Tree | Dimensionality Reduction | Embeddings | Ensemble Methods | Fuzzy Matching | GitHub | Hypothesis Testing | JupyterLab | K-Nearest Neighbors | K-nearest | Keras | LSTM | Language Processing | Logistic Regression | Machine Learning | Natural Language | Natural Language Processing | Naïve Bayes | Nearest neighbors | Neural Networks | PySpark | PyTorch | Python | RNN | Random Forest | Regression | SARIMA | SQL | Scikit-learn | Shapley Values | Shell Scripting | Support Vector Machine | TF-IDF | Tableau | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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