Strong experience (2+ years) with Building statistical models, applying machine learning techniques
Experience (3+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks
Proven experience (3+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Proven experience (3+ years) on innovation implementation from exploration to production: these may include containerization (i.e. Docker/Kubernetes) , Big data (Hadoop, Spark) and MLOps platforms.
Deep understanding of E2E software development in a team, and a track record of shipping software on time
Ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions.
Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration
