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).

• 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.

• 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.

• 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).