Senior AI Engineering Lead - Real-Time ML & Scalable Infra

Jobtailor; Burbank (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in Burbank, CA seeks a Lead AI System Designer to develop real-time and batch inference pipelines, integrating with streaming data platforms. You will design feature engineering pipelines using high-volume behavioral and content metadata, and implement end-to-end ML workflows from data ingestion to model serving.

You will build AI-powered data products and ensure tight integration with the core data platform, architect scalable ML infrastructure, and lead cross-functional teams to

Qualifications

• Strong experience deploying ML models in production.
• Expertise in recommendation systems, personalization, ranking models, or NLP.
• Experience with model training frameworks (TensorFlow, PyTorch, or similar).
• Understanding of feature engineering, model evaluation, and experimentation frameworks.
• Experience designing large-scale feature pipelines using batch and streaming data.
• Strong knowledge of data modeling and transformation for ML use cases.
• Familiarity with feature stores and real-time feature serving architectures.
• Experience integrating ML systems with real-time data platforms (e.g., Kafka, Pub/Sub).
• Understanding of event-driven architectures and low-latency processing patterns.
• Ability to design real-time inference and decisioning systems.

Responsibilities

• Lead architectural decisions for AI/ML systems and data-driven applications.
• Mentor engineers in machine learning engineering, system design, and best practices.
• Establish standards for model development, deployment, and operational excellence.
• Drive innovation in applied AI across streaming and content platforms.
• Collaborate with Data Engineers to integrate AI pipelines with real-time and batch data systems.
• Partner with Product Managers to define AI-driven product capabilities and roadmap.

Skills

ML Deployment

Real-Time Inference

Feature Engineering

Python

Java

TensorFlow

PyTorch

Kubernetes

APIs

CI/CD

Observability

Distributed Systems

Cloud-Native

Data Platforms

Tools

Kafka

Pub/Sub

CI/CD

Observability

Microservices

Job description

Jobtailor in Burbank, CA seeks a Lead AI System Designer to develop real-time and batch inference pipelines, integrating with streaming data platforms. You will design feature engineering pipelines using high-volume behavioral and content metadata, and implement end-to-end ML workflows from data ingestion to model serving.

You will build AI-powered data products and ensure tight integration with the core data platform, architect scalable ML infrastructure, and lead cross-functional teams to