Job Description :
1) Day to Day Responsibilities/project specifics:

70% admin work 30% engineering work (team is model validation team)

Python/Unix scripting
Deploying Python packages
Creating Anaconda environments
Compiling/building packages from source
Knowledge with Jupyter & JupyterLab
Working with jupyter lab kernels, R Studio and H20
Preferable to have with banking experience in risk/compliance. - Hadoop/Big Data skills working in Spark/Data Ingestion/devops on Cloudera/Hortonworks - Admin skills in building cluster - ML/AI experience building conda environments - AWS skills - Monitoring tools - Knowledge on spark/data ingestion - Some experience working with ML/AI Platform - Unix/Pyspark experience - Experience working on IBM Watson ML product - Understand Conda environments and building packages - Knowledge on Admin monitoring tools - DevOps - Python/Unix scripting - Deploying Python packages - Creating Anaconda environments - Compiling/building packages from source - Knowledge with Jupyter & JupyterLab - Working with jupyter lab kernels, R Studio and H20



Acts in the highest level technical role as an individual contributor and/or team lead for the most complex computer applications and/or application initiatives. Utilizes a thorough understanding of available technology, tools, and existing designs. Works on the most complex problems where analysis of situations or data requires evaluation of intangible variance factors. Plans, performs, and acts as the escalation point for the most complex platform designs, coding, and testing. Leads most complex multiple modeling, simulations, and analysis efforts. Acts as expert technical resource to programming staff in the program development, testing, and implementation process.

Client : Wells Fargo