Senior Applied AI Engineer

Job not on LinkedIn

🕒 August 4

🇺🇸 United States – Remote

💵 $98.7k - $231.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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, visualization, statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition • Provide technical leadership, subject matter expertise, technical direction, architectural guidance, and mentorship within a globally distributed engineering team • Interact with product and field engineering teams to identify questions and issues for data analysis and experiments • Lead development and coding of software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets • 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 from large, complex datasets • Develop and deploy predictive models for future customer-behavior predictions • Research, educate, and apply data-science principles, theories, and techniques to inform business decisions • Create deliverables and presentations reporting analysis methodology and results • Develop customer-centric models and optimization tools using streaming and at-rest processing over 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 • Use content-management systems, global design patterns, and established coding standards and practices • Exercise independent judgment and discretion in significant matters • Maintain regular, consistent, and punctual attendance and flexible scheduling

🎯 Requirements

• 7–10 years of relevant work experience • Bachelor's Degree is preferred; applicants with coursework and experience or extensive related professional experience may also be considered • Legally authorized to work in the United States without current or future visa sponsorship • Expertise in Python • Experience developing and implementing microservices containing sophisticated analytical logic • Expertise working with cybersecurity datasets and applying machine-learning techniques to security compliance and/or threat hunting • Experience parsing and cleansing data • Experience applying machine learning to data parsing and normalization is highly preferred • Experience designing, developing, and deploying applications powered by Large Language Models, including conversational AI, chatbots, and AI assistants • Experience with Retrieval-Augmented Generation, semantic search, vector databases, embeddings, and prompt engineering • Experience integrating foundation models such as OpenAI, Anthropic, Gemini, or open-source LLMs into production applications through APIs and orchestration frameworks • Experience evaluating, fine-tuning, and optimizing LLM-based solutions, including model selection, prompt optimization, guardrails, and performance evaluation • Understanding of AI governance, responsible AI practices, model monitoring, and security considerations for generative AI applications • Experience building scalable AI/ML pipelines and deploying models using MLOps best practices • Experience working in Agile Scrum development environments • Experience with GitHub and Jira or similar technologies • Experience using Python unit-test frameworks • Experience using Docker and containerized application deployment • Experience developing on a SaaS product • Experience with distributed data-processing technologies such as Apache Spark or Apache Flink is highly desirable • Flexibility in schedule is required • Regular, consistent, and punctual attendance is required

🏖️ Benefits

• Base pay within the posted range, dependent on job-related, non-discriminatory factors such as experience • Bonus eligibility for most non-sales positions • Best-in-class benefits for eligible employees • Personalized benefits options, expert guidance, and always-on tools supporting employees physically, financially, and emotionally • Opportunity to work in a virtual role • Professional growth and access to a variety of teams, locations, and resources • Inclusive equal opportunity workplace