[Remote] AI Engineering Technical Lead

Note: The job is a remote job and is open to candidates in USA. Paramount is a company on a mission to unleash the power of content, and they are seeking an AI Engineering Technical Lead to drive the design and development of AI-powered data products across their streaming platforms. The role involves leading the development of intelligent systems, ensuring production-grade performance, and collaborating with various teams to integrate AI capabilities into applications.

Responsibilities

• Lead AI System Design & Development
• Develop real-time and batch inference pipelines integrated with streaming data platforms
• Design feature engineering pipelines leveraging high-volume behavioral and content metadata
• Implement end-to-end ML workflows from data ingestion to model serving
• Build AI-Powered Data Products
• Develop production-grade AI services that power user-facing and internal data products
• Design APIs and services to expose AI capabilities to downstream applications and platforms
• Ensure tight integration between AI systems and the core data platform
• Architect Scalable ML Infrastructure
• Define architecture for model training, evaluation, deployment, and monitoring
• Build and optimize feature stores, model registries, and inference services
• Design systems that support low-latency, high-throughput model serving
• Establish best practices for reproducibility, versioning, and lifecycle management
• Production Reliability & Model Performance
• Monitor and optimize model performance, latency, and system reliability in production
• Implement observability for data quality, feature drift, and model degradation
• Establish automated testing, validation, and deployment pipelines for ML systems
• Ensure scalability and cost efficiency across AI workloads
• Cross-Functional Collaboration
• Partner with Data Engineers to integrate AI pipelines with real-time and batch data systems
• Collaborate with Product Managers to define AI-driven product capabilities and roadmap
• Work with Software Engineers to integrate AI services into user-facing applications
• Align with analytics and experimentation teams to measure model impact
• Technical Leadership
• 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

Skills

• Strong experience building and deploying machine learning models in production
• Expertise in recommendation systems, personalization, ranking models, or NLP
• Experience with model training frameworks (e.g., 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
• Strong experience with cloud-native architectures (GCP preferred)
• Experience deploying ML systems in Kubernetes-based environments
• Understanding of distributed systems, scalability, and fault tolerance
• Proficiency in Python, Java, or similar languages for production systems
• Experience building microservices and APIs for model serving
• Strong software engineering fundamentals, including testing, CI/CD, and observability
• Strong foundation in machine learning engineering, data systems, and distributed architecture
• Proven track record of building and scaling AI/ML systems in production environments
• Experience working with real-time data platforms and high-scale user-facing systems
• Ability to balance long-term architecture with rapid product delivery
• Excellent leadership, problem-solving, and cross-functional collaboration skills
• Self-motivated, quality-driven, and focused on delivering measurable impact through AI
• Experience in streaming, media, or consumer-facing platforms
• Familiarity with experimentation platforms (A/B testing) and metrics-driven optimization
• Experience building AI-powered data products and platform capabilities

Benefits

• Medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.
• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Company Overview

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