Position Details

Type Full-Time

Experience mid

Exp. Years 3+ years

Education Not specified

Category AI & Machine Learning

About this role

Twilio is seeking a Machine Learning Engineer to develop and maintain scalable, low-latency ML systems for real-time applications, collaborating with cross-functional teams to deliver innovative customer experiences.

Key Responsibilities

Partner with stakeholders to analyze problems
Design and implement scalable ML solutions
Build reproducible ML workflows
Monitor and evaluate model performance
Collaborate with cross-functional teams

Technical Overview

The role involves building scalable ML solutions, implementing MLOps practices, developing ML workflows, and deploying real-time anomaly detection, recommendation, and predictive models using modern orchestration and monitoring tools.

Ideal Candidate

The ideal candidate is a mid-level AI/ML engineer with 3+ years experience in developing scalable, low-latency machine learning systems for real-time applications. They possess strong collaboration and problem-solving skills, with expertise in ML workflows, MLOps, and monitoring frameworks.

Must-Have Skills

Machine LearningML workflowsMLOpsscalable systemsreal-time applications

Nice-to-Have Skills

anomaly detectionrecommendation systemspredictive modelingAI frameworksorchestration tools

Tools & Platforms

ML orchestration toolsmonitoring frameworksML evaluation tools

Required Skills

Machine LearningMLML workflowsMLOpsscalable systemsreal-time applicationsanomaly detectionrecommendation systemspredictive modelingAI frameworksmonitoring frameworksdata preparationtraininginferencecollaborationproblem-solvingcommunicationfeedback

Hard Skills

Machine LearningMLML-based systemsscalable systemslow-latency systemsML workflowsorchestrationMLOpsmonitoring frameworksmodel evaluationdata preparationtraininginferencescalable ML solutionsreal-time applications

Soft Skills

collaborationproblem-solvingcommunicationcross-functional teamworkfeedback incorporationmentoringsystem thinking

Industry & Role

Industry SaaS

Job Function Developing scalable, real-time machine learning systems for customer-facing applications

Role Subtype AI & Machine Learning

Tech Domains Machine Learning, ML, ML-based systems, scalable systems, low-latency systems, ML workflows, orchestration, MLOps, monitoring frameworks, model evaluation

Keywords for Your Resume

Deal Breakers

Lack of experience with scalable ML systems, No experience in MLOps or real-time applications, No collaboration or communication skills, No experience in ML workflows or monitoring

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