Pessoa Engenheira de Dados Pleno | Inteligência de Dados em Publicidade

We are looking for a
Senior Data Engineer with AI
to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Within this position, you will construct scalable AI deployment pipelines, embed AI functionality into enterprise systems, and partner with data scientists and business experts to deliver secure, transparent, and compliant AI behavior.

 

This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.

 

 

Responsibilities

• Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic
• Create and sustain prompt engineering approaches, covering versioning, testing, and optimization
• Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution
• Embed AI functionality within enterprise systems, APIs, and user interfaces
• Apply guardrails that guarantee secure, transparent, and compliant AI behavior
• Construct and sustain production-grade AI deployment pipelines
• Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services
• Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures
• Set up change control, versioning, rollback, and release management practices
• Work closely alongside data scientists and business experts to verify model behavior and outputs
• Convert experimentation outcomes into dependable production-ready solutions
• Convey operational constraints and engineering considerations to stakeholders

Requirements

• More than 3 years of experience working in software development
• Solid engineering foundation paired with applied AI expertise
• Proficiency in architecting and building AI workflows that merge models, prompts, and enterprise data
• Mastery of prompt engineering approaches, covering versioning, testing, and optimization
• Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization
• Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures
• Understanding of change control, versioning, and release management practices
• Ability to rapidly get up to speed on new platforms and tools
• Experience with large-scale enterprise data ecosystems
• English skills at B2 level or above

 

We offer

• We connect like-minded people
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
• We invest in your growth
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
• We cover it all
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)

 

EPAM Armenia is a team of talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities.

OFFRE D’APPRENTISSAGE

Apprenti Analyste Transport et Base de données

Sonoco – Saint-Ouen - France

APERCU DE L'ENTREPRISE

Sonoco, via ses filiales est un fournisseur mondial de premier plan de produits d’emballage pour l'alimentaire, des équipements et des services à un large éventail de marchés finaux. Avec 22 000 employés répartis sur 300 sites de production dans 33 pays.

Sonoco, un des leaders de l'industrie de l'emballage dont l'innovation et le développement durable sont au cœur des préoccupations. L'entreprise est le plus grand fabricant européen d'emballages alimentaires avec des centaines de clients mondiaux et régionaux du secteur alimentaire et des produits de grande consommation.

Description
Basé à Saint-Ouen (Paris), l’apprenti analyste de transport et base de données, sous la supervision du Transport & Warehousing Controller, met à jour des bases de données, effectue une analyse de la préfacturation au sein de la division Européenne et mets à jour des présentations.

MISSIONS DE L’ALTERNANCE

Dans le cadre de cette alternance, les missions suivantes pourront être proposées :

Mise à jour des bases de données tarif transport

• Mise à jour des tarifs en fonctions des informations communiquées par les acheteurs
• Correction des transporteurs obsolètes et des équipements utilisés
• Uniformisation des codes postaux et des noms des villes

Analyse de la préfacturation

• Suivi quotidien du rapport d'erreurs
• Analyse des modifications manuelles de prix par les usines
• Recherche et correction des distances erronées

Autres taches

• Extraction des indices fuel Européen (IRU)
• Support ponctuel aux usines sur l'outil de préfacturation
• Points d'avancement réguliers de l’apprentissage et des objectifs

Pendant l’apprentissage, l’étudiant(e) développera des compétences en gestion de Supply Chain en se concentrant sur le transport.

FORMATION

Niveau de formation

• MBA, Master ou Licence en transport, logistique, approvisionnement, data analyste
• Diplôme universitaire minimum de 2 ans en comptabilité / contrôle de gestion
• École supérieure de commerce

Connaissances informatiques

• Outils Office (e-mail, tableur type Excel (bon niveau)

‘’Excel Power Query, Power Automate, Power BI, Python sont un atout’’, logiciel de présentation tel que PowerPoint...)

• Connaissance de SAP est un atout

Langues étrangères

• Français (intermédiaire à bon niveau)
• Anglais (intermédiaire à expérimenté)
• Allemand et/ou Espagnole serait un plus

COMPETENCES & COMPORTEMENT

Savoir faire
Le/la candidat/(e) doit avoir une bonne connaissance de l’environnement du transport (y compris les principes fondamentaux de la réglementation des transports) et comprendre la gestion comptable des entreprises.

Savoir être
L’apprenti analyste transport et base de données est rigoureux/(se) et démontre une bonne aisance relationnelle. Il/elle a la capacité de s’adapter aux outils, aux procédures et aux méthodes de travail.

Enfin, il/elle est réactif/(ve), curieux/(se), analytique et ouvert/(e) aux autres.

AUTRES

Durée

• 1 à 2 ans, début septembre 2026

Avantages

• Remboursement 75% pass Navigo
• Accès restaurant d'entreprise
• Gratification supérieure au légal

CONTACT
Sonoco – Sylvie Tran-Gout

Email: sylvie.tran-gout@Sonoco.com

We are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.

¡Hola! Somos Cashea 👋 y nuestra misión es devolverle a los venezolanos la oportunidad de acceder al crédito a través de un modelo de negocio
BNPL
(buy now, pay later).

Desde nuestro lanzamiento en 2022, nos hemos dedicado a promover la
inclusión financiera
. Hoy contamos con más de 9 millones de usuarios activos, tanto consumidores como comercios, y nos hemos convertido en una marca de confianza en Venezuela, ganándonos el corazón y la mente de las personas.

Resumen del rol
Construir la infraestructura de Machine Learning y MLOps que permite a Data Scientists desarrollar, desplegar y mantener modelos de Machine Learning en producción siguiendo buenas prácticas industriales. Responsable de crear herramientas, SDKs y pipelines automatizados que garantizan reproducibilidad, observabilidad y gobernanza de modelos, con enfoque en self-service y autonomía de equipos de ML. Incluye productización y mejora constante de modelos complejos (bayesianos, ensembles) con estándares de calidad enterprise.

Responsabilidades

• Realizar análisis de datos ad hoc y presentar hallazgos accionables al equipo.
• Implementar y mantener monitoreo y alertas sobre indicadores críticos.
• Desarrollar e implementar dashboards que permitan optimizar métricas clave.
• Colaborar dentro del squad en el diseño e implementación de soluciones analíticas que respondan a las necesidades del negocio.
• Traducir requerimientos del squad en modelos de datos y transformaciones dentro del data warehouse.
• Coordinar con Data Engineering y otros squads para asegurar la calidad, consistencia y disponibilidad de los datos.

Requisitos

• 5+ años de experiencia en Ciencia de Datos, Machine Learning o MLOps
• 2+ años trabajando con MLOps tools en producción (registry, tracking, model serving, Monitoring, Versioning)
• Experiencia construyendo SDKs/libraries Python para consumo interno
• Experiencia con CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Capacidad de entender modelos bayesianos, ponerlos en producción con buenas prácticas y mejorarlos

Técnico:

• Python avanzado (packaging, testing, documentation)
• MLflow (registry, tracking server, model serving, artifacts)
• Modelos bayesianos (PyMC, Stan, o similar) - productización y optimization
• Docker & Kubernetes básico
• Git & GitHub/GitLab workflows
• REST APIs design & development
• Cloud platforms (GCP preferible, AWS/Azure acceptable)

Soft Skills

• Mentalidad de "internal tooling" (diseñar para otros desarrolladores)
• Documentación clara y completa (technical writing)
• Comunicación efectiva con Data Scientists (entender sus pain points)
• Ownership/Autonomía

Por qué te encantará trabajar en Cashea
En Cashea tenemos una cultura de trabajo basada en la confianza y el propósito. Si quieres saber por qué somos el lugar ideal para ti, estos son nuestros valores fundamentales:

• No trabajamos en piloto automático. Todo lo que hacemos y compartimos —dentro y fuera— es intencional. Nos apasiona crear ideas siendo plenamente conscientes del impacto que tienen en nuestros usuarios.
• Tu creatividad y curiosidad son tus activos más importantes.
• Tu voz importa. Escuchamos y abrimos espacio para las ideas y el feedback. Aquí todos pertenecen; lo que es importante para ti, lo es para nosotros.
• Valoramos la transparencia. La claridad nos mantiene conectados y con los pies en la tierra.
• Por último, pero no menos importante, nos enfocamos en el impacto real. Todo lo que hacemos está destinado a marcar la diferencia.

¿Te identificas?
¡Postúlate ahora, nos encantaría conocerte!

Your Responsibilities Will Include

• Implementing and maintaining "Factory of the Future" AI solutions across 20 industrial sites to improve efficiency, data management, and communication
• Deploying and designing AI-driven tools to solve practical industrial challenges like predictive maintenance and automated quality control.
• Collecting, pre-processing, and analyzing real-world industrial data to build and validate Machine Learning and Deep Learning models.
• Conducting technology watches to identify and bring the latest digital innovations into our industrial network.
• Deploying digital and no-code tools, while collaborating closely with plants to train local teams and ensure successful adoption.

Join Us If

• You are a current student or recent graduate in Data Science, Artificial Intelligence, Computer Science, Automation, or a related engineering program.
• You have advanced programming skills in Python (mandatory) for data science, modeling, and scripting.
• You have a solid grasp of statistics, Machine Learning and Deep Learning, with the ability to turn raw data into actionable insights.
• You have an interest in industrial systems, Lean Manufacturing, or how digital architectures connect to physical production processes (experience with GCP is a plus).
• You have a genuine passion for AI and a desire to see your models applied to solve real-world physical and industrial problems, and knowledge in generative AI (VLA-Vision Language Action- is a plus).
• You are open to travel across our region (Europe) to discover our sites and support local teams on the ground.
• You have a good level of English and strong analytical thinking skills.

What We Offer

• Paid internship with an employment contract (from day one) for up to 18 months
• Monthly performance bonus based on team results, as well as holiday and Christmas bonuses
• Access to tools used in a global organization focused on innovative solutions and modern technologies
• Life and health insurance
• Private medical care at Medicover and a cafeteria benefits platform
• Free parking
• On-site canteen
• Support from an internship mentor and on-the-job training

At Valeo, we focus on diversity – we support it through mentoring programs, training, and local initiatives.