Data Scientist/Machine Learning Engineer

The Judge Group
October 31, 2020
Palo Alto, CA
Job Type


Location: Palo Alto, CA
Salary: Open
Description: Our client is currently seeking a Data Scientist/Machine Learning Engineer

This is a W2 only position. No C2C candidates will be accepted.
We are looking for a Data Scientist/ML Engineer to join our technology team to solve exciting business problems in the domain of commercial banking, payments and financial services. Candidates must have a strong curiosity for data and a proven track record of successfully applying rigorous scientific methods with proficiency in ML Engineering and DevOps capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business.  
The ideal candidate will have a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and have experience working with massive amounts of data. 
What You'll Do:
•           Build and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Banking.
•           Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
•           Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.
•           Ability to build ML models across Public and Private clouds including container-based Kubernetes environments.
•           Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.
•           Build both batch and real-time model prediction pipelines with existing application and front-end integrations. 
•           You will collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations. 
Basic Qualifications:
•           Advanced Degree in field of Computer Science, Data Science or equivalent discipline.
•           Minimum 2-3 years of working experience as a data scientist
•           Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps.
•           Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms)
•           Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite)
•           Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
•           Experience working with end-to-end pipelines using frameworks like KubeFlow, TensorFlow and/or crowd-sourced data labeling a plus

Contact: [Click Here to Email Your Resumé]

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October 31, 2020