ML/Data Engineer

Andersen is looking for an experienced ML/Data Engineer to join a project focused on developing an AI-powered sports performance platform. You will be responsible for building scalable data infrastructure and real-time systems that provide actionable insights for athletes and coaches globally.

Key responsibilities

• Designing and building production data infrastructure for high-volume athlete performance and sensor data.
• Developing real-time and near-real-time ingestion systems for streaming data.
• Creating storage and data architectures for high-volume time-series data.
• Building infrastructure to support machine learning systems and AI agents with low latency.
• Collaborating with ML engineers and domain experts to translate complex requirements into production systems.

Requirements

• 5+ years of professional software or data engineering experience.
• Proven expertise in designing and operating production data infrastructure at scale.
• Strong experience with time-series databases and real-time streaming data ingestion.
• Proficiency in Python and SQL.
• Experience designing graph data models and multi-tenant systems with data isolation.
• Upper-Intermediate or higher level of English.

What we offer

• Opportunities for professional, financial, and career growth with a structured mentoring system.
• Access to a comprehensive corporate training portal and knowledge base.
• Certification compensation for professional development.
• Private health insurance and sports compensation benefits.