Senior Applied AI Engineer

Job not on LinkedIn

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $98.7k - $231.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Design, develop, and deploy advanced analytics and data exploitation solutions for DataBee’s SaaS security, risk, and compliance platform • Extract knowledge and insights from high-volume, high-dimensional data using data preparation, modeling, analysis, and visualization • Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate disparate datasets • Analyze large datasets using statistical analysis, data mining, optimization, machine learning, and statistical techniques • Develop and execute statistical and mathematical solutions to business problems • Create data mining architectures, models, protocols, statistical reporting, and data analysis methodologies • Analyze historical customer behavior and product performance patterns • Develop and deploy predictive models for future customer behavior • Produce analysis deliverables and presentations reporting methodology and results • Develop customer-centric models and optimization tools for streaming and at-rest structured and unstructured data • Understand platform usage and assist with production deployments and customer issue triage • Develop security features and adopt DevSecOps practices • Identify and mitigate production incidents • Build reusable software components, libraries, microservices, and APIs • Apply content management systems, global design patterns, and team coding standards • Provide technical direction, architectural guidance, subject matter expertise, and mentorship within a globally distributed engineering team

🎯 Requirements

• 7–10 years of relevant work experience • Bachelor's Degree preferred, or some combination of coursework and experience, or extensive related professional experience • Expertise in Python • Experience developing and implementing microservices with sophisticated analytical logic • Expertise working with cybersecurity datasets and applying machine learning for security compliance and/or threat hunting • Experience parsing and cleansing data • Experience applying machine learning to data parsing and normalization highly preferred • Experience designing, developing, and deploying LLM-powered applications, including conversational AI, chatbots, and AI assistants • Experience with RAG, semantic search, vector databases, embeddings, and prompt engineering • Experience integrating foundation models such as OpenAI, Anthropic, Gemini, or open-source LLMs through APIs and orchestration frameworks • Experience evaluating, fine-tuning, and optimizing LLM solutions, including model selection, prompt optimization, guardrails, and performance evaluation • Understanding of AI governance, responsible AI, model monitoring, and generative AI security • Experience building scalable AI/ML pipelines and deploying models using MLOps best practices • Experience in Agile Scrum environments • Experience with GitHub and Jira or similar technologies • Experience with Python unit test frameworks • Experience with Docker and containerized application deployment • Experience developing on a SaaS product • Distributed data processing experience with Apache Spark or Apache Flink highly desirable • Flexible schedule and regular, consistent, punctual attendance

🏖️ Benefits

• Base pay within the posted salary range • Bonus eligibility for most non-sales positions • Best-in-class benefits • Personalized benefits options and expert guidance • Always-on tools supporting physical, financial, and emotional well-being • Access to a variety of teams, locations, and resources • Inclusive equal opportunity workplace