Senior Applied AI Engineer

Vaga não está no LinkedIn

🕒 Agosto 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $98.678 - $231.278 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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NBCUniversal

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2004

📱 Mídia

Media • Entertainment

Criamos conteúdo de classe mundial, que distribuímos em nosso portfólio de filmes, televisão e streaming, e ganham vida por meio de nossos parques temáticos e experiências para o consumidor. Detemos e operamos marcas líderes de entretenimento e notícias, incluindo NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network e Peacock, nosso serviço de streaming premium com anúncios. Produzimos e distribuímos entretenimento audiovisual e programação de primeira linha por meio da Universal Filmed Entertainment Group e da Universal Studio Group, e contamos com parques temáticos e atrações de renome mundial por meio da Universal Destinations & Experiences. A NBCUniversal é uma subsidiária da Comcast Corporation.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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