Required Technical Skills:

• Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
• Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks.
• Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.

BONUS POINTS FOR HAVING :

• Experience with GenerativeAI, LLMs and Vector Databases.
• Experience with Databricks/Apache Spark.
• Experience implementing data pipelines using ETL tools.
• Experience working in a Data Science role.
• Proven success at enterprise software.
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing, etc.