ML provides technical thought leadership on hard, business impacting problems. Reporting directly into the VP of engineering, this role involves shaping the engineering/ architecture vision the standpoint of delivering data science solutions. As a su
ML provides technical thought leadership on hard, business impacting problems. Reporting directly into the VP of engineering, this role involves shaping the engineering/ architecture vision the standpoint of delivering data science solutions. As a subject matter expert, the incumbent is also responsible for mentoring data scientists and Software Engineers in the team.
Experience 6 Years
Qualification What we are looking for :
Should come from a strong engineering background
Collect relevant data from production systems/ Use crawling and parsing infrastructure to put together data sets.
Working knowledge of time-series analysis and forecasting and knowledge of on-line ML and stream processing.
Good overlap with tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/ Python/ C
Experience in using various state-of-the-art ML tools like Apache Spark, Google Tensorflow, Theano etc.
Mathematical maturity to critically analyze academic literature from venues such as KDD, ICDM, SDM, ICML and NIP
Experience in using Python and prominent ML libraries in Python
Ability to propose hypothesis and design experiments in the context of specific problems.
Responsibilities Huge plus if you have:
Designed and/ or built ML modules as part of larger distributed systems.
Experience using various tools within the Hadoop ecosystem.
Experience in data visualization.
Strong statistics background.
Craft, conduct and analyze experiments to evaluate models/ algorithms.
Communicate findings and take algorithms/ models to production.
Job Location Hyderabad / Chennai