Senior Machine Learning Engineer with Python

This individual’s day-to-day work will involve developing production-ready codebases in Python, following SDLC and MLOps principles, analyzing data using SQL, Spark (Scala/ PySpark), and utilize overall DS hardware infrastructure expertise to maintain, design and build software solutions that are fast, scalable and flexible.

Required skills:
·11+ years of experience in software engineering and software architecture background in an enterprise setting
·High volume transactional environment experience
·Strong Relational database skills (SQL, JDBC - Oracle and PostgreSQL preferred)
·5+ years software development experience as a Python developer
·3+ years experience in Spark and NoSQL databases such as MapR DB, Cassandra etc.
·Experience in deploying ML models in production and familiarity with MLOps.
·Understanding in statistics and Machine Learning concepts such as model selection criteria, parameter tuning, A/B Testing
·Big Data Components/Frameworks such as Hadoop (MapR), Spark etc. and the knowledge to perform ETL and compute in a distributed computing environment.