Support project and program management activities across NBCUniversal’s media and entertainment operations, including streaming, content, and technology initiatives.
Compensation
The hourly rate for student interns is $30.00.
Responsibilities
Support Project and Program Managers across Playback Experience, Playback Platform, and Advertising
Provide project coordination and administrative support to Portfolio Operations team
Assist in content publication, metadata management, and operational tooling across streaming products
Collaborate with cross-functional teams to deliver new features and platform enhancements
Contribute to initiatives involving streaming, player experiences, accessibility, advertising, platform services, metadata, analytics, and playback performance
Requirements
Currently enrolled in a degree-granting program
Nice to have: Generative AI
Nice to have: Microsoft Copilot
Nice to have: LLM code generation
Nice to have: Experience in coding language such as Python or SQL
Role central pour faire le pont entre l'ingénierie logicielle et les technologies d'IA générative afin d'industrialiser des solutions à forte valeur ajoutée dans le secteur agroalimentaire.
Responsibilities
Réaliser l'audit technique de l'existant en matière d'intelligence artificielle et émettre des recommandations d'architecture stratégiques.
Reprendre, consolider et fiabiliser les prototypes développés par l'équipe pour les transformer en solutions robustes et maintenables en production.
Concevoir et implémenter des architectures de génération augmentée par récupération (RAG) adossées à des bases de données vectorielles.
Développer des agents autonomes capables d'interagir efficacement au sein de l'écosystème data.
Concevoir et expos des API performantes avec FastAPI pour interconnecter les services d'IA.
Customer Data Operations Analyst to build and operationalize the data foundation that connects how customers use Fieldguide with how we measure, understand, and communicate the value they receive from the platform.
Compensation
Competitive compensation packages with meaningful ownership
Responsibilities
Own the development and customization of customer-facing reports and dashboards
Use SQL and existing data infrastructure to investigate customer questions, validate reported metrics, and resolve discrepancies
Build scalable reporting solutions that can be reused across customers, service lines, and engagement types
Partner with Customer Success to support data-driven QBRs, executive business reviews, renewals, and value realization conversations
Identify where customer-specific reporting requests reveal broader gaps in Fieldguide's underlying data models or product reporting capabilities
Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake, develop and orchestrate data pipelines using Azure Data Factory, design and maintain data models in Snowflake, manage Snowflake warehouses, write and optimise complex SQL queries, integrate Azure services, monitor pipelines, apply CI/CD and Git-based version control, create technical documentation, and collaborate with stakeholders to translate business needs into scalable data solutions.
Intégrateur d'exploitation responsable de l'intégration technique des applications sur les socles centraux, de la réalisation de recettes de bout en bout, et de la gestion des environnements de tests.
Responsibilities
Réception des livraisons de la MOE
Installation sur les environnements AMONT avec tests de validation
Effectuer l’intégration technique des applications sur les socles centraux
Réaliser des recettes de bout en bout
Packager et livrer les applications à destination de la direction de l’exploitation
Requirements
Nice to have: SGBD Linux/Apache/MySQL/PHP (LAMP)
Nice to have: Git
Nice to have: Soapui
Nice to have: Postman
Nice to have: processus de gestion des changements
Design, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake.
Develop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.
Design and maintain data models in Snowflake, covering staging, core and data mart layers.
Manage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages.
Write, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation.
Developer Support EngineerNewAera Technology · Bucharest, Romania
Full-Stack DeveloperNewBee Talents · Remote, Poland+1 more
Senior Agentic AI EngineerNewGT · Warsaw, Poland
AI Engineer ApprenticeNewCrowe Advisory LLC · Hyderabad, India
Customer Data AnalystNewFieldguide · Remote, US