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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