SplitMetrics

Lead Machine Learning Engineer, Data&AI team

SplitMetrics

Posted 2 months ago

Employment Type

Full Time

Location

Dubai

Experience

Senior, Lead

Benefits

Annual LeaveHealth InsurancePaid LeaveVisa

Requirements

Python,SQL,Agile,ML algorithms

Job Description

Description Hi! It's SplitMetrics, a remote-first team of experts building the future of mobile marketing. Top app developers turn to us for intelligent data-driven solutions designed for Apple Search Ads scale, A/B testing, and market insights.

Responsibilities

  • Lead a team of senior engineers and data scientists.
  • Develop and deploy new machine learning algorithms.
  • Analyze the performance of current ML solutions and identify opportunities to improve.
  • Continuously improve delivery processes.
  • Provide technical leadership.
  • Collaborate cross-functionally to share findings and guide product development.

Requirements

  • 5+ years of experience in Data Science or Machine Learning Engineering, with at least 1 year in a lead role.
  • Deep understanding of ML algorithms and optimization methods.
  • Strong practical knowledge of Python and SQL.
  • Understanding of Agile principles/experience as a Scrum Master.
  • Working knowledge of how to put ML models into production.

Benefits

  • Time Off: Vacation and public holidays following your country's regulations. Additional 6 PTOs annually.
  • Health and Wellness: Medical insurance or health care compensation. Paid sick leave.
  • Professional Development: Top conferences and events. Internal courses.
  • Performance and Growth: Supportive management style. Semi-annual performance review sessions.
  • Team Engagement: Corporate events and team retreats. Collaboration through shared OKRs.
  • Work Flexibility: Flexible working schedule. Remote-first environment.
  • Workspace Options: Coworking costs coverage. Office hubs in key locations.

About the Company At SplitMetrics, our values guide everything we do. We're united by our core behaviors: Move Fast, Get Sh*t Done, Build Together, Strive for Transparency, Own What You Do, Learn + Share = Excel.

How to Apply

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