October 8, 2024

Skillspark AB

Gdynia

Senior ML/Data Engineer

Start

ASAP

Duration

> 12 months

PROJECT INFORMATION:

Industry: banking
Location: hybrid work (1 day a week from the office in Gdansk or Gdynia)
Remuneration: up to about 180 PLN/H net + VAT
Start: ASAP (to be agreed)
Project duration: long term

We are seeking an Senior ML/Data Engineer to enhance hybrid cloud architecture, where Cloud Pak for Data (CP4D) plays a central role. The selected candidate will focus on the following key responsibilities:

Design and Implementation of ML Models: Develop and implement machine learning models such as Propensity, Customer Lifetime Value, Micro-segmentation, and channel recommendation models. You will collaborate with use case teams to streamline training and deployment processes, aiming to reduce time-to-market for AI solutions.
MLOps Optimization: Enhance our current MLOps practices and frameworks, making them applicable to a broader range of use cases beyond propensity models. You will leverage CP4D’s standard capabilities and cloud infrastructure to ensure scalability.
Cloud Enablement: Assist in preparing our AI/ML systems for future cloud integrations, maximizing the use of CP4D features such as Open Scale for monitoring, CP4D Feature Store, WMLA, and GPUs.

Knowledge and Experience Required:

Minimum 3 years of experience in training, testing, and implementing ML models.
Advanced proficiency in SQL (T-SQL, PL/SQL, Spark SQL) with at least 3 years of experience.
A minimum of 2 years working with Apache Spark for big data processing.
Experience with the Hadoop ecosystem (Hadoop, Hive) and handling large volumes of data in near real-time.
At least 1 year of experience working with Scala and MLOps practices.
Familiarity with version control strategies, particularly GIT or Bitbucket