ML Platform Engineer — Build Scalable AI at Web Scale

Paramount Pictures; Burbank (CA); On-site; USD 130,200 - 195,300; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

PTO

Job summary

Paramount Pictures is seeking a Sr. ML Platform Engineer who will deploy MLOps products shaping content strategy, optimize marketing investments, and enhance the user experience.

You will build the foundations of an ML platform enabling the Data Science team to deploy models at web scale for millions of customers worldwide. You will design and implement Paramount’s model deployment platform, monitor deployments, and develop UIs and AI agents that let stakeholders interact with DS models.

Qualifications

• 5+ years experience in Data Science and ML Engineering.
• Deep experience developing as a team using OOP, Docker, & Kubernetes.
• Deep experience designing and implementing MLOps platforms and multi-agent systems in a cloud environment.
• Deep experience implementing CI/CD workflows that manage model deployments.
• Ability to innovate without over-engineering.
• Familiarity with well-known statistical and ML models and methods.
• Strong detail orientation with a penchant for deployment reliability.
• Must successfully pass a background check.

Responsibilities

• Design and implement our greenfield ML platform and suite of analytical AI agents, 10Xing the Data Science team’s impact.
• Work closely with Data Scientists to understand their development needs
• Work closely with Stakeholders to understand the business problems driving model deployments, translating complex models into self-serve, LLM-callable tools that augment stakeholder workflows.
• Assess and integrate cutting-edge software and practices in Data Science and MLOps.
• Refactor disjointed data science scripts and workflows into modular 'skills' that act as procedural knowledge for AI agents, streamlining stakeholder interactions.
• Manage deployment and contribute to models driving Paramount+’s global, financial forecasts
• Design and implement Paramount’s model deployment platform
• Design and implement robust monitoring, logging, alerting, and observability of ML deployments
• Design and implement UIs and natural-language AI agents that enable a variety of stakeholders to intuitively interact with DS models.
• Drive adoption of best practices for CI/CD workflows tailored to Data Science & Agentic Workflows
• Drive adoption of agentic workflows (e.g., automated SQL generation, variance diagnostics, model post-mortems) across Data Science and the larger Paramount organization.

Skills

OOP

Docker

Kubernetes

CI/CD

MLOps

Data Science

ML Engineering

Tools

BigQuery

Google Cloud Platform

ML Engine

Job description

Paramount Pictures is seeking a Sr. ML Platform Engineer who will deploy MLOps products shaping content strategy, optimize marketing investments, and enhance the user experience.

You will build the foundations of an ML platform enabling the Data Science team to deploy models at web scale for millions of customers worldwide. You will design and implement Paramount’s model deployment platform, monitor deployments, and develop UIs and AI agents that let stakeholders interact with DS models.