Hybrid
Full Time
Role & responsibilities : Strong experience (8+ years) with Building statistical models, applying machine learning techniques Experience (5+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks Proven experience (5+ years) in solving complex problems with multi-layered data sets, as well as optimizing ex8isting machine learning libraries and frameworks. Proven experience (2 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
Capgemini
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