Lead Machine Learning Engineer

June 18

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Tala

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The mobile app revolutionizing financial services, globally.

Mobile Technology • Credit Scores • Financial Inclusion • Big Data • Economic Development

501 - 1000

Description

• Developing Data Scientist and Analyst-friendly self-service tooling and frameworks • Optimizing the model development and software development life cycles • Maximizing quality of models, services, and tooling • Collaborating with and supporting cross-functional teams

Requirements

• 6+ years backend software experience in consumer scale applications, at least 4 of them with Python • 2+ of those years in real-time streaming data (Kafka, Kinesis, Beam, Flink, Spark Streaming) • 2+ of those years in a tech lead role • Proficiency with machine learning tools and tech (Jupyter, Pandas, Scikit-Learn, Xgboost, Tensorflow, Pytorch, Hugging Face) • Strong database experience, both relational and non-relational (MySQL, PostgreSQL, Cassandra, HDFS, Snowflake, Druid) • Strong hands-on experience in cloud computing (AWS, GCP, Azure, Kubernetes) • Experience with batch processing platforms (Airflow, Metaflow) • Experience autonomously building machine learning or causal inference models to solve business problems

Benefits

• Not specified