ML Data Engineer (SQL, Spark, Big Data)
Experience with Machine Learning Projects and/or data science models (trainings, testing and implementations )
Dear All,
Role - Data Engineer
Seniority level - Senior
Remote - 100%
Assignment period - 21 Oct 2024 TO 30 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 (Gdańsk or Gdynia) once per quarter for PI Planning activities.
✔️ Job description:
Our Client's 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, Micro-segmentation, channel recommendation models), helping use case team(s) in training and deployments. Reduce time-to-market
- 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 ( T-Sql, 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
- Department
- Information Technology
- Role
- DevOps Engineer
- Remote status
- Fully Remote
- Employment type
- Contract
- Employment level
- First /Mid-Level Officials
- Job Description
- Data Engineer
- Job location
- Remote
- Employment Level | Seniority
- Mid-Senior level
Colleagues
Sperton
We are on a mission to be a one-stop solution provider for Global Recruitment, People Management and Global Mobility services by understanding the needs of our clients and delivering exceptional services beyond the market standards.
ML Data Engineer (SQL, Spark, Big Data)
Experience with Machine Learning Projects and/or data science models (trainings, testing and implementations )
Loading application form