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

Senior Applied AI Engineer – Developer Productivity & SDLC
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Informática
- Máster
- Grado
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
8d
Senior Data Platform Engineer
SeQura —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- AWS
- Grado
Solicitud rápida
AI&Data Consultant
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Doctorado
Senior Machine Learning Engineer – LLMs & Agentic AI
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Doctorado
- Informática
Senior LLM Engineer
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
AI Senior Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Senior AI Platform Engineer (Domino)
EPAM Systems, Inc. —Barcelona, Barcelona provincia
- Informática
- DevOps
- Oficina
- Vacaciones pagadas
- Programa de recomendación
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
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
4d
Senior / Mid LLM Engineer – Applied AI y Model Optimization
Mystery Project —Donostia-San Sebastián, Guipúzcoa provincia
- Jornada completa
- Doctorado
- Informática
- Inglés
Solicitud rápida
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
13d
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
AI Engineer Senior
Kairos Digital Solutions —España
- Jornada completa
- Teletrabajo
- Inglés
- Bases de datos
- SQL
- Formación continua
- Seguro médico privado
AI Architect / Senior AI Engineer
Plain Concepts —España
- Jornada completa
- Teletrabajo
- Español
- Azure
- DevOps
- Seguro dental
- Abono gimnasio
Solicitud rápida

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Director, Data Engineering (Capital Markets)
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Senior Applied AI Engineer – Developer Productivity & SDLC

Keysight Technologies, Inc. -
Barcelona, Barcelona provincia

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Detalles del empleo

Media jornada | Jornada completa

Cualificaciones

CI/CD
Informática
Software empresarial
Máster
Grado
Desarrollo de software
ETL
Cloud
Inteligencia artificial
Habilidades de comunicación
SDLC

Descripción completa del empleo

Overview:

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

About the Team

Software and AI Labs (SAL) drives innovation across Keysight’s global software engineering organization. The team focuses on accelerating developer productivity, modernizing engineering workflows, and ensuring secure, compliant adoption of emerging AI technologies.

You will join a cross-functional group working closely with Engineering, DevSecOps, IT, and Architecture teams worldwide. The culture is experimental, impact-driven, and focused on safe, scalable AI enablement across enterprise software development.

About the Role

This role sits at the intersection of AI, software engineering, and enterprise transformation.

As a Senior Applied AI Engineer, you will design and implement AI-driven solutions that modernize and accelerate Keysight’s Secure Software Development Lifecycle (SDLC). You will evaluate emerging AI technologies (LLMs, RAG, agentic systems), translate governance into practical engineering standards, and build reference architectures that can scale across global engineering teams.

Your impact will directly influence developer productivity, engineering quality, and responsible AI adoption across the enterprise.

Responsibilities:

AI-Led Productivity & SDLC Acceleration

Lead technical evaluations and enterprise rollouts of AI tools and platforms.
Design reusable solution patterns (prompt libraries, RAG architectures, agent workflows) to improve coding, testing, documentation, and planning.
Develop reference implementations (“golden paths”) integrating AI into DevSecOps toolchains.
Evaluate emerging AI paradigms (e.g., MCP, agentic frameworks) and guide safe adoption.

Architecture & Integration

Architect end-to-end AI solutions spanning cloud, on-prem, and hybrid environments.
Optimize AI integrations for performance, cost efficiency, and developer experience.
Collaborate with engineering and DevSecOps teams to embed AI into CI/CD, testing, and release processes.

Governance, Risk & Compliance

Translate corporate AI governance into practical engineering guardrails.
Align AI practices with ISO/IEC 42001, NIST AI RMF, SOC2, and OWASP API Security principles.
Implement secure data handling, model access control, and vendor usage standards.

Stakeholder & Program Leadership

Engage engineering leaders and IT stakeholders to drive adoption programs.
Manage vendor evaluations, pilots, and compliance alignment.
Provide executive-level updates on AI adoption impact, productivity gains, and risks.

Qualifications:

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5–10+ years of experience in software engineering.
Hands-on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real-world engineering workflows.
Experience integrating AI into DevSecOps environments and CI/CD toolchains.
Working knowledge of secure software development practices and practical security controls.
Strong communication skills with experience influencing cross-functional teams.

Desired Qualifications

Experience defining enterprise engineering KPIs and productivity metrics.
Exposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks.
Experience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases).
Prior experience driving enterprise AI enablement programs.
Experience working in large, global engineering organizations.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

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