Posted 23 days ago
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Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. The role involves building and validating data pipelines, integrating model pipelines into production, and applying SDLC practices for model deployment. It includes data discovery, data quality analysis, and collaboration with data science teams and stakeholders to translate business needs into analytic approaches. The position also entails monitoring models, addressing data pipeline issues, and participating in special projects as needed.
- Compensation
- Not specified
- City
- Hyderabad
- Country
- India
Currency: Not specified
Full Job Description
At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
About this Job:
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment.
Responsibilities
- Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).
- Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
- Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
- Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
- Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Undergraduate degree or equivalent combination of training and experience.
- Minimum of five years related work experience.
- Python, PySpark, SQL, NoSQL DB, AWS Cloud Tech Stack (Glue, SM etc.)
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