12 publicaciones de empleo destacadas en data science/mlops engineer (¡Están contratando!)

Senior AI Platform Engineer (Domino)
EPAM Systems, Inc. —Barcelona, Barcelona provincia
- Informática
- DevOps
- Oficina
- Vacaciones pagadas
- Programa de recomendación
AI Senior Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Senior / Mid LLM Engineer – Applied AI y Model Optimization
Mystery Project —Donostia-San Sebastián, Guipúzcoa provincia
- Jornada completa
- Doctorado
- Informática
- Inglés
Solicitud rápida
Senior Devops Engineer
Monks —Madrid, Madrid provincia
- De guardia
- Informática
- DevOps
- AWS
Solicitud rápida
Lead AI Engineer, Business Acceleration
SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
Solicitud rápida
Senior Director, AI Cloud & Compute Services
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Azure
- DevOps
6d
AI Engineer
Grupo Lanit —España
- Jornada completa
- Teletrabajo
- Azure
- Máster
- AWS
- Seguro médico privado
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
AI Architect / Senior AI Engineer
Plain Concepts —España
- Jornada completa
- Teletrabajo
- Español
- Azure
- DevOps
- Seguro dental
- Abono gimnasio
Solicitud rápida
AI Engineer Senior
Kairos Digital Solutions —España
- Jornada completa
- Teletrabajo
- Inglés
- Bases de datos
- SQL
- Formación continua
- Seguro médico privado

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Senior AI Platform Engineer (Domino)

EPAM Systems, Inc. -
Barcelona, Barcelona provincia

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Detalles del empleo

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

CI/CD
Optimización del rendimiento
Derecho
Informática
Big data
DevOps
Spark
Cifrado
Máster
AWS
Terraform
APIs
Escalabilidad
Cloud
Apache
Inteligencia artificial
Python

Descripción completa del empleo

We're looking for a Senior AI Platform Engineer (Domino) to join our team in a remote working mode with occasional onsite visits to Barcelona, Spain. In this role, you will design, build and optimize next-generation AI/ML platforms that enable enterprise-scale experimentation, model lifecycle management and production deployment in a secure, high-availability environment. You will work within the AWS cloud ecosystem, leveraging Domino Data Lab as a core platform component while integrating with enterprise data solutions and MLOps best practices.

This role combines technical expertise and architectural insight, giving you the opportunity to influence platform strategy while delivering automation, scalability and compliance to accelerate data science and AI initiatives across R&D, commercial functions and operations.

Responsibilities

Define and implement enterprise AI platform architecture, including experimentation, training, model registry, CI/CD and observability components
Build and maintain reusable services, APIs and automation for scalable platform adoption
Administer and optimize Domino Data Lab for multi-tenant and multi-region usage
Lead integration of the AI platform with enterprise data pipelines, orchestrators and security frameworks
Drive cost optimization, performance tuning and GPU/CPU resource planning for distributed training and inference
Support the development of model pipelines and tooling that streamline experimentation-to-production workflows
Apply DevOps/MLOps practices using Infrastructure as Code for automation and compliance
Ensure robust security, identity management, encryption and regulatory compliance in collaboration with cybersecurity and data privacy teams
Research and drive new capabilities in LLM operations, including RAG patterns, vector databases and safety mechanisms
Foster technical best practices and mentor engineering teams to improve platform maturity

Requirements

Proven hands-on experience with Domino Data Lab administration and customization
Strong background in AWS or equivalent cloud ecosystem (compute, storage, networking, IAM, governance)
Experience deploying and managing EKS clusters, including networking, storage classes, operators, GPU workloads and service mesh
Advanced Python programming skills, including automation and platform tooling development
Proficiency with Infrastructure as Code (e.g., Terraform, CloudFormation)
Experience implementing MLOps frameworks for model lifecycle management and reproducibility
Familiarity with distributed processing and big data tools (e.g., Apache Spark)
Understanding of security best practices and compliance standards in regulated environments
Background in LLM operations and multi-agent orchestration preferred
Excellent communication skills and ability to translate technical concepts for diverse audiences
Degree in Computer Science, Engineering, or a related field

Nice to have

Exposure to GxP life sciences environments and governance processes
Knowledge of AI safety, token-aware scaling and session management
Familiarity with cost/performance optimization strategies for AI workloads
Contributions to internal platform strategy and improvement roadmaps

We offer

Private health insurance
EPAM Employees Stock Purchase Plan
100% paid sick leave
Referral Program
Professional certification
Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Why Join EPAM
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

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