AI/ML & Optimization Engineer

🏢 Huzzle
📍 EgyptFull-timeRemote
📅 Posted: 6d ago🔄 Updated: 6d ago
CV%
✨ AI Summary
Huzzle is seeking a Senior AI/ML & Optimization Engineer for Loop Optimizations to build and refine an autonomous AI marketing platform. This mission-critical role involves developing optimization algorithms, analyzing experiment performance, integrating AI models, improving attribution models, and scaling the platform. The engineer will be responsible for the system's 'brain,' ensuring smarter decisions, higher revenue, and maximum efficiency. Key responsibilities include architecting optimization algorithms, analyzing experiment results, evaluating AI models, developing attribution models, scaling the platform, optimizing system performance, and incorporating customer feedback. Experience in SaaS or AdTech, advanced proficiency in A/B testing, and familiarity with Slack are considered nice-to-haves. Strong English communication skills are required.
Required Skills
Information Technology
AlgorithmsA/B TestingPerformance OptimizationMonitoring
Science & Research
Experimental Design
Other
AI modelscreative generationmulti-touch attributioninference cost reductionlatency reductioncustomer feedback incorporation
Soft Skills & Professional Competencies
Decision Making
Nice to have:
Information Technology
SaaS
Other
AdTech
Productivity & Workplace Tools
Slack
🎁 Benefits & Perks

💰 Competitive base salary

🌎 Fully remote work environment (Offshore)

🚀 Opportunity to build a category-defining autonomous platform

📈 Long-term stability as an integral, ongoing teammate

🕒 Flexible working hours with consistent core overlap

🛠️ Work with the latest AI/ML models and technologies

Requirements
Develop and refine autonomous optimization algorithms that manage ads, websites, and email marketing sequencesAnalyze experiment performance and A/B test results to drive continuous system improvementEvaluate and integrate the latest AI models and creative generation tools to maintain a competitive edgeImprove multi-touch attribution models and autonomous decision-making logicExpand the platform’s reach by introducing and optimizing new advertising channelsFocus on system performance by reducing inference costs and latencyIncorporate direct customer feedback into the development of new optimization methodologiesMonitor long-term system health to ensure the platform remains a robust, continuously improving engineNice-to-HavesExperience in the SaaS or AdTech industries.Advanced proficiency in A/B testing frameworks and experimental design.Familiarity with Slack for team communication and workflow integration.Strong English communication skills
Description
About HuzzleAt Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.Role Type: Full-timeEngagement: Independent Contractor Job SummaryWe are seeking a high-caliber Senior AI/ML & Optimization Engineer to join the core team at Loop Optimizations. This is not a project-based role; it is a mission-critical position focused on building and refining an autonomous AI marketing platform that continuously creates, tests, and improves full-funnel marketing assets. You will be responsible for the "brain" of our system, ensuring our algorithms make smarter decisions, drive higher revenue for customers, and operate with maximum efficiency. If you are passionate about building self-improving systems that bridge the gap between complex data and real-world business outcomes, we want to hear from you.Key ResponsibilitiesArchitect and refine optimization algorithms that drive autonomous marketing decisionsAnalyze experiment performance and A/B test results to iterate on system logicEvaluate and integrate cutting-edge AI models to enhance creative generation and predictive capabilitiesDevelop and improve multi-touch attribution models to ensure accurate revenue reportingScale the platform to support new advertising channels and complex customer journeysOptimize system performance and reduce inference costs without sacrificing output qualityIncorporate customer feedback and behavioral data to improve the platform's autonomous reasoningMonitor and improve the overall reliability and speed of the optimization loops
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00