Lead Data & ML Engineer

• Must be onsite NYC • • Responsibilities: Work with Quantitative Strategist/Statistical Modeler to build, enhance, and execute/test scenarios • Ability to develop, run and infer Machine Learning Models and Statistical Models on cloud • Identify potential improvements to the current design/processes. • Ability to assess risks in design/development upfront. • Plan and co-ordinate the data/process migration across databases. • Participate in multiple project discussions as a senior member of the team. • Serve as a coach/mentor for junior developers. • Provide thought leadership. • Lead team in new initiatives such as cloud strategy. • Required Skills:10 + years of total experience. • Strong Python, Spark, PyTorch, PySpark, Java and C++ scripting experience • Have knowledge on Machine Learning, Statistics and Model development, training and inference. • Have strong design and problem-solving skills • Strong understanding of machine learning tools ML Flow, Databricks, Snowflake on Cloud • SQL skills and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance. • Knowledge and hands-on experience of RDBMS systems (e.g.: DB2, Teradata, or Oracle, Snowflake). • Good communication and leadership skills. • Organization, discipline, detail-orientation, self-motivation, and focused on delivery. • In-depth knowledge and hands-on experience Unix/Linux programming (shell and/or Perl). • Desired Skills:Experience in the Financial Industry • Good understanding of Data engineering principles and risk model development. • ETL experience with Informatica • Experience in Cloud database (e.g.: AZURE, Snowflake). • Experience with Scala/Spark/C++/Pytorch • Experience with AngularJS • Experience in KDB