ML Data Engineer (SQL, Spark, Big Data)

InventYOU is a leading IT consulting company based in Sweden. We specialize in delivering top-tier professional IT services, both onsite and through nearshoring solutions. Our diverse clientele includes companies from innovative startups to large, established enterprises, all benefiting from our expertise and commitment to excellence.

Our goal is to enhance the exchange of information and streamline operations across various departments. We are looking for a talented ML Data Engineer (SQL, Spark, Big Data) to join our dynamic team at inventYOU and contribute to our ongoing projects.

Our client’s target AI architecture operates on a hybrid cloud model, utilizing CP4D to its fullest potential. This includes leveraging tools like Open Scale for monitoring, the CP4D Feature Store, CP4D WMLA, and GPUs. In the job position of ML Data Engineer you will be responsible for:

• Designing and implementing machine learning models (such as Propensity, Customer Lifetime Value, Micro-segmentation, and channel recommendation models) to assist use case teams with training and deployment, ultimately aiming to expedite time-to-market.
• Optimizing existing MLOps practices and libraries to broaden their applicability beyond propensity models.
• Utilizing standard capabilities from CP4D and cloud technologies to enhance scalability for AI and ML initiatives.

Requirements

Experience:

• Over 3 years in Machine Learning projects and/or data science models, including training, testing, and implementation.
• Advanced proficiency in SQL (T-SQL, PL/SQL, Spark SQL) for at least 3 years.
• A minimum of 2 years of experience with Spark.
• Familiarity with the Hadoop ecosystem and processing large volumes of big data in near real-time (Hadoop, Hive).
• At least 1 year of experience with Scala and MLOps.

Skills:

• Knowledge of code versioning strategies, specifically using GIT or Bitbucket.

Benefits

Competitive compensation package, including salary and benefits.

Opportunities for career growth and professional development.

A collaborative and innovative work culture.