ML Data Engineer SQL Spark Big Data
ML Data Engineer SQL Spark Big Data
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Dear All
Role Data Engineer
Seniority level Senior
Remote 100%
Assignment period 21 Oct 2024 TO30 Apr 2025
For our Client from banking industry we are looking for ML Data Engineer.
This is a hybrid model role which requires being onsite in Tricity (Gdask or Gdynia) once per quarter for PI Planning activities.
Job description:
Our Clients Target AI architecture is a hybrid cloud where CP4D plays a role. They should harness its capabilities to greater extent (e.g. Open Scale for monitoring CP4D Feature store CP4D WMLA GPUs). This will require from the candidate:
- Design and implementation ML Models (e.g. Propensity Customer Lifetime Value Microsegmentation channel recommendation models) helping use case team(s) in training and deployments. Reduce timetomarket
- Help in optimizing our current MLOps practices and libraries make applicable for wider range of use cases outside propensity models. Harness standard capabilities from CP4D and cloud for scalability
- Cloud enablement for AI/ML when it comes
Required:
- Experience with Machine Learning Projects and/or data science models (trainings testing and implementations ) 3 years
- Advanced knowledge in SQL ( TSql PL/SQL Spark SQL ) 3 years
- Experience in Spark 2 years
- Experience with Hadoop ecosystem and big data volumes processing in close real time (Hadoop Hive )
- Scala/MLOPS minimum 1 year of experience
- Familiarity with code versioning strategy GIT/Bitbucket
Best Regards
G.srilalitha
Employment Type
Full Time
