AI Engineer | DevOps/MLOps | Madrid en España - Jobeax
Descripción de la vacante
AI Engineer | DevOps/MLOps | Madrid en España
RemotoTrabaja desde cualquier lugar
HíbridoCombinación de oficina y remoto
PresencialTrabaja desde la oficina
Have the right to work in Spain
Spain
AI Engineer | DevOps/MLOps | Madrid en España is listed on Jobeax. Browse 80,000+ vacancies available.
What you'll do
Own the engineering and integration layer of AI capabilities into the software delivery toolchain, ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams.
Collaborate closely with AI Product Engineers and platform teams to define and scope opportunities for AI-driven innovation.
Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value.
Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness.
Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as Corporate Identity (CI)/Corporate Design (CD), observability, and developer workplace.
Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices.
Drive best practices for automation, monitoring, and reproducibility, promoting a culture of continuous improvement.
What you'll get
23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
`Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan...)
Free access to several training platforms
Professional stability and career plans
UST also, compensates referrals from which you could benefit when you refer professionals.
The option to pick between 12 or 14 payments along the year.
Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)
UST Club Platform discounts and gym Access discounts
If you would like to know more, don't hesitate to apply and we'll get in touch to fill you in detail. We are waiting for you!
In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.
Job description
We are looking for the very Top Talent...and we would be delighted if you were to join our team!
More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35.000 employees all over the world and presence in more than 30 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
What are we looking for?
We are looking for an AI Engineer with a strong software engineering and DevOps/MLOps background to join an innovative project for a leading global wealth management client. The ideal candidate will be passionate about integrating AI capabilities into enterprise platforms, driving automation, and building scalable, secure, and production-ready AI solutions within a highly collaborative environment.
Location:Hybrid. Madrid city center (Sol area). 3 days a week in the office.
Language:English is a must. Spanish desirable.
YOUR PROFILE
3-5 years of experience as a software engineer or DevOps/MLOps specialist, with a strong background in AI integration and automation.
Strong knowledge of Corporate Identity (CI)/Corporate Design (CD) pipelines, cloud environments, containerization (Docker/K8s), and APIs.
Experience integrating Machine Learning (ML) and Generative AI components into production systems, with a focus on scalability, security, and maintainability.
Security-aware and familiar with enterprise standards for tooling, ensuring the highest levels of data protection and compliance.
Comfortable working in agile and cross-functional teams, with excellent communication and collaboration skills.
Master or Bachelor in Computer Science or a related area, or proven relevant working experience.
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