Remote Position
Must Have Technical/Functional Skills:
7-10 years hands-on with Python for machine learning – especially XGBoost, scikit-learn and NumPy/pandas.
Proficiency in PySpark for reading, transforming and analyzing large datasets stored in parquet.
Experience in validating or reverse engineering ML models from business logic or legacy implementation.
Exposure to Java-based ML libraries or understanding of how internals map across languages.
Hands-on with Python frameworks for meta-modelling libraries.
Roles & Responsibilities
- Collaborate with the customer team to understand the logic, structure and parameters of the Java-based
XGBoost models.
Interpret data transformation logic and validate feature pipelines from existing Java implementations.
Run Python-converted models on historical datasets and validate output metrics against Java model benchmarks.
Collaborate with model validation teams to review performance, consistency and explain metric deviations if any.
Design unit tests and validation scenarios to support each migrated model’s readiness for signoff.
Ingest model input data from parquet files using PySpark and pandas to reproduce training and scoring workflows.
Conduct EDA and spot-check row-level predictions where needed.
Salary : 150000-170000/Per Annum
Location
Salt Lake City, UT
Job Function
TECHNOLOGY
Role
Technical Architect
Job Id
393546
Desired Skills
Data scientist
Salary Range
$150,000-$170,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE