Our Client’s Target AI architecture is a hybrid cloud where CP4D plays a role. They should harness its capabilities to a greater extent (e.g. Open Scale for monitoring, CP4D Feature store, CP4D WMLA, GPUs).
About the client
Responsibilities
- Design and implement ML models (e.g., propensity models, customer lifetime value, micro-segmentation, and channel recommendation models), assisting use case teams in training and deployment processes to accelerate time-to-market.
- Contribute to optimizing existing MLOps practices and libraries, making them applicable to a broader range of use cases beyond propensity models. Utilize standard capabilities from CP4D and the cloud to ensure scalability.
- Support cloud enablement for AI/ML when necessary.
Requirements
- Over 3 years of experience in Machine Learning projects and/or data science models, including training, testing, and implementation.
- Over 3 years of experience in SQL (T-SQL, PL/SQL, Spark SQL).
- Experience with the Hadoop ecosystem and processing large data volumes in near real-time (Hadoop, Hive).
- 2+ years of experience working with Spark.
- At least 1 year of experience with Scala and MLOps.
- Familiarity with code versioning strategies using Git/Bitbucket.
- At least an Upper-Intermediate level of English.
We offer
- Competitive salary and benefits.
- Flexible working hours.
- Vacation – 20 working days’ annual leave.
- Paid sick days.
- A personal laptop with all the essential software installed.
- State holidays are granted.
- Corporate accountant, lawyer, and psychologist services.
- Bureaucracy-free and transparent management.
- Costs related to participation in workshops and professional conferences are covered (up to 50% compensation).
- Online English classes (50% compensation).
Location
Kyiv, Remote, Warsaw
Job type
Full time
English level
Upper-Intermediate
Date posted
Oct 9, 2024