Senior ML Engineer

Tasks and duties are to:

• Take ownership of the end-to-end machine learning delivery cycle, including building, testing, deploying, and supporting solution components
• Lead the design of complex ML systems from scratch, considering architectural aspects, user needs, and non-functional requirements
• Transform business goals into data science problems and define relevant proxy metrics and non-functional requirements
• Discover and verify business scenarios that can be solved with technical tools and solutions, contributing significantly to the experiment design process
• Manage issues from root cause to resolution, providing feedback to improve engineering design and prevent future issues
• Create and maintain DS-powered services in a production environment, collaborating with other teams and contributing to the backend systems and infrastructure
• Drive automation and track performance and efficiency metrics
• Mentor and onboard junior team members, supporting a culture of continuous learning and best practices
• Communicate complex technical messages clearly and concisely to diverse audiences
• Proactively identify and report potential security, risk, and control issues
• Drive continuous improvement and innovation that leads to business impact

We offer:

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Relocation package offered for candidates from other regions
• Access to professional counseling services including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment