What they offer
Full-time hours
Per the ad.
Hybrid
Office and home days — the ad has the split.
What they ask for
Have the right to work in Spain
Glintt Global doesn't mention sponsorship in the ad.
Be near Madrid for hybrid days
No relocation package mentioned.
You'll most likely need Spanish to apply.This job was automatically translated to English,.
The role
Who are we?
We are Glintt Global, a leading technology company in the Iberian Peninsula, with more than 30 years of experience developing innovative solutions that directly impact people's quality of life. We believe in technology, knowledge, ambition, and innovation as drivers of change.
This is our commitment! Discover more about the Global Culture | Glintt Global.
The role
¿Quiénes somos?
Somos Glintt Global, una compañía tecnológica de referencia en la Península Ibérica, con más de 30 años de experiencia desarrollando soluciones innovadoras que impactan directamente en la calidad de vida de las personas. Creemos en la tecnología, el conocimiento, la ambición y la innovación como motores de cambio.
¡Este es nuestro compromiso! Descubre más sobre la Cultura Global | Glintt Global.
About Glintt Global
Glintt Global is a technology company specializing in healthcare IT solutions, with a strong focus on pharmacy management systems, clinical software, and digital transformation for the healthcare sector. The company operates across multiple countries, providing enterprise-level software and services to hospitals, pharmacies, and healthcare networks, and employs a significant workforce of engineers, architects, and consultants.
In Spain, Glintt Global has established a presence in Lisbon, which serves as a key hub for its international operations and product development. The company actively hires international talent, particularly for engineering and architecture roles, offering opportunities to work on complex healthcare platforms. With a multicultural and English-speaking work environment, it is an attractive destination for international professionals looking to contribute to the digital transformation of healthcare in Southern Europe.
- Founded
- 1995
- Employees
- 1,000–5,000
- Headquarters
- Lisbon, Portugal
- In Spain
- Lisbon
Good to know if you are moving
- Glintt Global's Lisbon office is a major hub for its international operations, making it a viable option for those looking to relocate to Portugal.
- The company's work environment is described as international and English-centric, which is beneficial for non-Portuguese speakers.
- As a healthcare IT provider, Glintt offers stable, long-term projects in a sector that is less prone to economic downturns.
- The company has a history of hiring international talent, with a significant number of its employees in Lisbon being expatriates.
- Glintt provides opportunities to work on large-scale, enterprise-level healthcare platforms, which can be a significant career boost for IT professionals.
In their own words
About the company & team
We are Glintt Global, a leading company in Consulting and Technological Services in the Iberian Peninsula, with over 30 years of experience driving digital transformation through innovation, technology, and knowledge.
We are looking for a Tech Lead - ML/AI Engineering with a strong orientation toward technical leadership, business development, and pre-sales, capable of driving the growth of our Data & AI practice.
This person will be key in defining the technological strategy, managing client relationships, and identifying new business opportunities, combining an architectural and leadership vision with active participation in the design and construction of high-impact Artificial Intelligence solutions.
We are looking for a profile with the capacity to inspire teams, influence decision-making, and act as an internal and external reference in the field of AI.ra of advanced Machine Learning and Artificial Intelligence solutions, from problem definition to production deployment.
What will your day-to-day look like?
Technically lead the AI practice, contributing to the definition of methodologies, standards, and best practices.
Actively participate in the growth strategy of the Data & AI area, identifying opportunities and new service lines.
Act as a technical reference for clients, supporting the detection of needs and the definition of AI-based transformation roadmaps.
Lead pre-sales activities, including workshops, discovery sessions, preparation of technical proposals, estimations, and defense of solutions.
Collaborate closely with sales teams and management in the generation of new business opportunities.
Participate in executive presentations and decision committees, communicating technical concepts to both technical and business audiences.
Drive the adoption of new technologies and trends in the AI ecosystem, evaluating their potential application for clients and for the company.
Develop and mentor talent within the area, contributing to the growth of the team and the technical community.
What we are looking for
6+ years of experience in Machine Learning, Data Science, or Artificial Intelligence.
Experience leading AI/ML projects in production environments.
Solid knowledge in Generative AI, LLMs, RAG, Deep Learning, and Predictive Analytics.
Experience developing scalable solutions with Python and frameworks such as PyTorch, TensorFlow, or scikit-learn.
Experience in cloud environments (Azure, AWS, or GCP) and MLOps/LLMOps practices.
Capacity to define architectures, lead technical teams, and make strategic decisions.
Experience in pre-sales, client workshops, and the definition of technological solutions.
Communication, leadership, and business orientation skills.
About the company & team
Somos Glintt Global, una compañía de referencia en Consultoría y Servicios Tecnológicos en la Península Ibérica, con más de 30 años de experiencia impulsando la transformación digital a través de la innovación, la tecnología y el conocimiento.
Buscamos un/a Tech Lead - ML/AI Engineering con una fuerte orientación a liderazgo técnico, desarrollo de negocio y preventa, capaz de impulsar el crecimiento de nuestra práctica de Data & AI.
Será una persona clave en la definición de la estrategia tecnológica, la relación con clientes y la identificación de nuevas oportunidades de negocio, combinando una visión arquitectónica y de liderazgo con una participación activa en el diseño y construcción de soluciones de Inteligencia Artificial de alto impacto.
Buscamos un perfil con capacidad para inspirar equipos, influir en la toma de decisiones y actuar como referente interno y externo en el ámbito de AI.ra de soluciones avanzadas de Machine Learning e Inteligencia Artificial, desde la definición del problema hasta su despliegue en producción.
¿Cómo será tu día a día?
Liderar técnicamente la práctica de AI, contribuyendo a la definición de metodologías, estándares y buenas prácticas.
Participar activamente en la estrategia de crecimiento del área de Data & AI, identificando oportunidades y nuevas líneas de servicio.
Actuar como referente técnico frente a clientes, acompañando la detección de necesidades y la definición de hojas de ruta de transformación basadas en AI.
Liderar actividades de preventa, incluyendo workshops, discovery sessions, elaboración de propuestas técnicas, estimaciones y defensa de soluciones.
Colaborar estrechamente con equipos comerciales y dirección en la generación de nuevas oportunidades de negocio.
Participar en presentaciones ejecutivas y comités de decisión, comunicando conceptos técnicos a audiencias tanto técnicas como de negocio.
Impulsar la adopción de nuevas tecnologías y tendencias del ecosistema AI, evaluando su potencial aplicación para clientes y para la compañía.
Desarrollar y mentorizar talento dentro del área, contribuyendo al crecimiento del equipo y la comunidad técnica.
Lo que buscamos
+6 años de experiencia en Machine Learning, Data Science o Inteligencia Artificial.
Experiencia liderando proyectos AI/ML en entornos productivos.
Conocimientos sólidos en Generative AI, LLMs, RAG, Deep Learning y Predictive Analytics.
Experiencia desarrollando soluciones escalables con Python y frameworks como PyTorch, TensorFlow o scikit-learn.
Experiencia en entornos cloud (Azure, AWS o GCP) y prácticas MLOps/LLMOps.
Capacidad para definir arquitecturas, liderar equipos técnicos y tomar decisiones estratégicas.
Experiencia en preventa, workshops con clientes y definición de soluciones tecnológicas.
Habilidades de comunicación, liderazgo y orientación a negocio.



