PROJECT DESCRIPTION

Successful candidate will be part of a growing Analytics Team, focusing on various Big Data technologies, providing projects and services to international clients and teams from across the globe. He/she will participate in end-to-end project implementations delivered in a dynamic and young environment that encourages innovative solutions. We offer an opportunity to develop both in the technology and business areas.

SKILLS

Must have
Proficiency in Python for data analysis, modeling, and automation.
Hands-on experience with Microsoft Azure Databricks and cloud-based machine learning workflows.
Knowledge of MLFlow for model lifecycle management.
Solid understanding of data modeling techniques and best practices.
Experience with production automation of machine learning models.
Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
Nice to have
Experience in manufacturing or supply chain forecasting.
Familiarity with deep learning approaches for time series forecasting.
Exposure to cloud-based MLOps practices.

Build and maintain data models that support large-scale predictive analytics.
Work with Microsoft Azure Databricks to process, analyze, and model large datasets.
Implement and manage MLFlow for model tracking, versioning, and deployment.
Automate model training and deployment workflows to ensure production stability and scalability.
Collaborate with engineers, analysts, and business stakeholders to align forecasting models with business needs.
Continuously research and apply the latest advancements in machine learning and time series forecasting.