Senior ML Engineer - Pecan AI

17M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital. 50 employees Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay.. Responsibilities: Work on pecans’s core data and machine learning infrastructure, which is at the heart of Pecan’s offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated. Who You Are: A problem solver at heart, you have a passion for excellence, you love to learn but know when it’s time to deliver and make ends meet. You aren’t threatened by a complex, dynamic and demanding environment. “There is no I in team”, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion. What We’re Looking For: 5+ years experience as a Machine Learning Engineer. 10+ years of experience with Python/Java/Scala. Strong understanding of distributed systems, object-oriented programming and design patteri Distributed Compute frameworks such as Spark, Dask, Ray etc Hands-on experience designing, training, and deploying machine-learning models MLOps Hands-on experience with open source ML libraries like: catboost, lightgbm, xgboost, scikit-learn, NumPy, Pandas, Microservices architecture, cloud technologies, Docker/K8s. Ability to design and own a feature through all its phases. Bonus: BSc./MSc. In CS or similar – an advantage Building data pipelines using Apache Airflow Hands on experience with Spark, SparkSQL, Spark streaming and other Spark related projects Apply for this job Resume * Pecan , Thank you for your application!