Senior Machine Learning Engineer

Job Description

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs.We are looking for an experienced and passionate Machine Learning Engineer Tech Lead to join the Machine Learning team at Bayut & dubizzle.You will be responsible for the technical architecture and complex cross functional project. Acting as a strategic advisor to product and the commercial departments, you will spearhead data science projects to drive value and impact across the organization.The ML team creates and maintains a portfolio of Machine Learning models covering a broad range of product and business use cases including pricing, fraud detection, content quality augmentation, content personalization, recommender systems, content classification, price transparency & valuation, image recognition and others.You will be responsible for the end-to-end Data Science cycle including data preparation, data labelling, feature extraction & engineering, model training and evaluation, model deployment, and post-launch model experimentation and analytics.You will collaborate with other full-stack Machine Learning engineers and work closely to other teams such as BI & Data Engineering and Analytics.In this role, you will:

• Spend up to 30% on design of projects, architecture, processes, spend the rest on adding value by directly contributing to projects
• Take initiatives, influence the ML roadmap and help selling the value of ML projects by ensuring success is tracked with agreed business KPI and A/B testing
• Draw and maintain the big picture of the ML technical stack and research new technologies and pitch them to the team
• Actively scout the market for solution to problems solved with ML
• Set the right level of expectation with Stakeholders and deliver within agreed timeline on complex projects
• Own your PPP summary report for the department head
• Communicate clear expectations and proactively reach out to stakeholder if any deadline is going to be missed proposing a new timeline
• Deploy ML models into production that work as standalone data services.
• Accountable for Data Privacy and Security (including organising credentials in Lastpass)
• Real-time data pipelines using server less and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
• Accountable for having at all times at least two team members which have knowledge of critical components at all time
• ML stack stability Environment Stability, setting KPI for the team and evaluating performances based on results
• Responsible for data quality and timely delivery of ML models that make common business sense
• Produce and maintain project decks which includes $, KPIs, ROI, data model design, team, architecture, alerts, master scheduling, quality checks, timeline etc.. for any major work request (typically more than a week) and have them added to the Data Roadmap for prioritisation
• Ensure project design is reviewed and approved by peers or the manager before any code is written (API request/response to be signed off during design phase before code implementation)
• Continually research current and emerging technologies and proposing changes where needed
• Lead demonstrating technical excellence being a role model for other team members
• Participate in the off-hours on call stability rota to support live ML models
• Communicate expectations and proactively reach out to stakeholder if any deadline is going to be missed proposing a new timeline

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