Senior Data Science Engineer

Owning the full lifecycle from raw data ingestion to model deployment, the full-time Senior Data Science Engineer will develop and integrate ML and LLM-based models for risk detection within a remote environment. Key responsibilities Research, prototype, and develop ML and LLM-based models to address complex business challenges Design, build, and maintain scalable data pipelines and ensure data quality across various layers Implement CI/CD pipelines for data workflows and ML model deployment, monitoring performance and business outcomes Required qualifications 5-8+ years of experience in data engineering and data science/ML with a proven track record of deploying models to production Strong proficiency in Python and experience with Spark/PySpark for large-scale data processing Advanced SQL skills for complex data transformation and analysis Hands-on experience with cloud data platforms like Databricks or Snowflake Familiarity with ML experiment tracking tools such as MLflow or Weights & Biases