What are the responsibilities and job description for the Python Data Engineer position at Virtusa?
Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
Strong experience in Python Development.
5 years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
5 years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
Proficiency with tools and LLMs.
Ability to work independently and collaboratively within a team.
Preferred Skills
Experience in GenAI/LLMs projects.
Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
Background in financial business-like banking, risk management.
Should be familiar with capital markets and financial instruments and modelling
Strong experience in Python Development.
5 years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
5 years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
Proficiency with tools and LLMs.
Ability to work independently and collaboratively within a team.
Preferred Skills
Experience in GenAI/LLMs projects.
Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
Background in financial business-like banking, risk management.
Should be familiar with capital markets and financial instruments and modelling