Were looking for ambitious individuals passionate about making a significant impact in the retail tech space. If youre motivated by innovation and eager to contribute to a pioneering company shaping the future of retail pricing,
we offers the perfect opportunity to challenge yourself and grow with us. Join us in our mission to transform pricing strategies into proactive, visionary actions that redefine retail success.
Your Role and Impact:
Design and implement end-to-end solutions, covering system architecture and software development, to support our AI-driven services.
Build scalable systems with integrated observability, logging, and tracing to quickly detect, understand, and resolve runtime issues.
Collaborate with diverse teams, both internal and external to the R&D group, to drive product innovation and client success.
we offers the perfect opportunity to challenge yourself and grow with us. Join us in our mission to transform pricing strategies into proactive, visionary actions that redefine retail success.
Your Role and Impact:
Design and implement end-to-end solutions, covering system architecture and software development, to support our AI-driven services.
Build scalable systems with integrated observability, logging, and tracing to quickly detect, understand, and resolve runtime issues.
Collaborate with diverse teams, both internal and external to the R&D group, to drive product innovation and client success.
Requirements:
A Masters or higher in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
3+ years of applied experience and a proven track record of using data to drive business results.
Strong skills in Python development, including package management, deployment, and unit testing.
Proficiency in SQL and experience with large-scale data systems such as Hadoop or Spark.
Deep understanding of data engineering principles, including ETL pipelines, data quality control and data scalability.
Practical experience with AWS cloud services.
Nice-to-Haves:
Familiarity with MLOps infrastructure: CI/CD, software, data & model versioning control, observability, and deployment.
Experience in AI/ML system design and implementation.
Strong working knowledge and expertise in machine learning, statistical modeling, and data mining is a significant advantage.
Hands-on familiarity with key Python packages (e.g., polars/pandas, statsmodels, scikit-learn, pytorch, xgboost, etc.).
Practical understanding of containerization with Docker and orchestration with Kubernetes.
A Masters or higher in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
3+ years of applied experience and a proven track record of using data to drive business results.
Strong skills in Python development, including package management, deployment, and unit testing.
Proficiency in SQL and experience with large-scale data systems such as Hadoop or Spark.
Deep understanding of data engineering principles, including ETL pipelines, data quality control and data scalability.
Practical experience with AWS cloud services.
Nice-to-Haves:
Familiarity with MLOps infrastructure: CI/CD, software, data & model versioning control, observability, and deployment.
Experience in AI/ML system design and implementation.
Strong working knowledge and expertise in machine learning, statistical modeling, and data mining is a significant advantage.
Hands-on familiarity with key Python packages (e.g., polars/pandas, statsmodels, scikit-learn, pytorch, xgboost, etc.).
Practical understanding of containerization with Docker and orchestration with Kubernetes.
This position is open to all candidates.
