Lead Machine Learning Engineer at Disney Ad Platforms driving AI innovation and machine learning solutions for advertising. Innovating ad technology while mentoring junior engineers in a collaborative environment.
About the role
- AI/ML Engineering Lead at Welocalize focusing on developing production-grade AI systems and applying cutting-edge AI research to real-world problems.
Responsibilities
- Lead a team of AI/ML engineers to design, build, test, and maintain production AI systems.
- Own the end-to-end AI model lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
- Set and enforce software engineering best practices for ML codebases (testing, code reviews, documentation, CI/CD, versioning).
- Architect scalable and reliable AI services and pipelines that integrate with existing backend and platform infrastructure.
- Collaborate with product, data, and platform teams to translate business requirements into robust AI-driven solutions.
- Ensure models in production are observable, debuggable, and maintainable (metrics, logging, alerts, retraining strategies).
- Mentor engineers on Python best practices, system design, and production AI patterns.
- Stay up to date with industry trends in ML engineering, MLOps, and applied ML, and assess their practical applicability.
Requirements
- Degree (preferably Master's) in Computer Science, AI, or a related engineering field.
- 7+ years of experience in software engineering.
- Significant production ownership of AI-based systems.
- Proven experience leading and mentoring engineers in a production-focused environment.
- Strong expertise in Python, with a deep understanding of clean code, testing, packaging, and performance considerations.
- Solid understanding of ML fundamentals (training, evaluation, bias/variance, metrics) with a pragmatic, application-driven mindset.
- Experience designing and operating ML pipelines and services (batch and/or real-time).
- Familiarity with MLOps practices: model versioning, CI/CD, monitoring, rollback strategies, and reproducibility.
- Strong communication skills, with the ability to align technical decisions with product and business goals.
- Experience in working with cross-functional teams to bring research into production.
Job title
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