Senior ML Engineer
Tasks
- Break down business problems into data problems and propose solutions
- Deploy monitor and maintain models end to end
- Design build and improve machine learning models for risk and intelligence products
- Develop anomaly detection fraud and risk modeling approaches
- Manage and analyze large multi country datasets with integrity and compliance
- Monitor model performance and interpret results
- Partner with cross functional teams to scope prioritize and ship data products
- Run experiments including A B testing to validate new signals
Perks/Benefits
- Creche allowance
- Flexible work model
- Lab days
- Leadership programs
- Learning and development allowance
- Mentoring
- Office-first culture
- Voluntary provident fund NPS option
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Apache Spark | B testing | BigQuery | Classification | Clustering | Community Detection | Data Modeling | Data Warehousing | Experiment design | Fine Tuning | Graph Embeddings | Graph Machine Learning | Hive | Hugging Face | Hugging Face Transformers | Kafka | Language Models | Language Processing | Large Language Models | Link prediction | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | Propensity Modeling | PySpark | PyTorch | Python | SQL | Scikit-learn | Statistical Testing | TensorFlow | Text Summarization | Time Series | Transformers
Education
N/A
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