Lead Product Manager

Nebeus; Barcelona; Presencial; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

Una empresa emergente e innovadora busca un Ingeniero de Aprendizaje Automático para liderar el desarrollo de funciones de seguridad de IA. Este papel implica la creación de productos comerciales centrados en el usuario a partir de investigaciones de evaluación de LLM. Con un enfoque práctico, el candidato seleccionará modelos adecuados y colaborará con centros de supercomputación para desarrollar soluciones de IA de vanguardia. La posición ofrece un entorno dinámico con oportunidades de crecimiento profesional y proyectos innovadores en un sector en rápida evolución. Si tienes pasión por la IA y deseas marcar la diferencia, esta es tu oportunidad.

Servicios

Entorno de trabajo flexible

Salario competitivo y opciones de acciones

Días de vacaciones generosos

Crecimiento profesional

Proyectos de vanguardia

Entorno de trabajo dinámico

Caminos claros de crecimiento

Formación

• 5 años de experiencia en modelos de aprendizaje automático y Generative AI.
• Experiencia en MLOps y despliegue de soluciones de IA a gran escala.

Responsabilidades

• Desarrollar nuevas funciones y expandir la funcionalidad de los servicios de IA.
• Colaborar con el Barcelona Supercomputing Center en investigación de IA.

Conocimientos

Python

Machine Learning

Generative AI

Deep Learning

MLOps

Communication Skills

Educación

Máster en Ciencias de la Computación

PhD en Aprendizaje Automático

Herramientas

ML frameworks

Knowledge Graphs

Vector Databases

Descripción del empleo

Descripción del trabajo

Galtea is seeking a highly motivated and experienced Founding Machine Learning Engineer to drive the development of next-generation AI Safety features within our innovative platform. This role involves leading efforts to translate cutting-edge LLM evaluation research into a user-centric, commercial product. The position is hands-on, encompassing both research and product development.

Who are we? Galtea is an AI startup at the forefront of solving one of the biggest challenges of our time: making Generative AI (GenAI) safe, reliable, and trustworthy for businesses. As LLMs (Large Language Models) transform industries, they introduce risks like inaccuracies, cybersecurity vulnerabilities, data privacy issues, and complex regulatory hurdles—especially with the upcoming EU AI Act. At Galtea, we're building a cutting-edge platform to help businesses navigate these challenges. Our easy-to-use solution ensures LLM-based products are accurate, secure, and compliant, enabling organizations to harness the full potential of AI while avoiding costly fines and maintaining trust with their customers and partners. We are a dynamic early-stage startup seeking an energetic individual to join our team and tackle the challenges ahead.

What you’ll be doing

1. Ownership of the core AI services of Galtea; developing new features, and expanding the functionality of these core AI services.
2. Selecting the most appropriate models and approaches for AI product development, taking advantage of retrieval systems and agentic workflows but not being limited to them.
3. Fine-tuning LLMs by choosing the best architectures for the task at hand, implementing new architectures whenever required.
4. Collaborating with Barcelona Supercomputing Center to develop cutting-edge AI research and products through leveraging the computational resources of the Mare Nostrum 5 cluster.
5. Evaluation of the quality and security of the developed AI services.
6. Designing and executing the technical roadmap and architecture to build a scalable AI platform.
7. Implementing Robust LLMOps & DevOps practices for developing agile product iteration.
8. Mentoring the junior members of the team.

About you

1. 5 years of experience in building and deploying machine learning models, with proven experience in Generative AI.
2. Expertise in Python and ML frameworks, and deep learning architectures for generative models.
3. Strong understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and Generative AI techniques.
4. Industry experience with LLMs (fine-tuning, optimizing, performance evaluation).
5. Experience with knowledge graphs and vector databases.
6. Expertise in MLOps / LLMOps / DevOps including deploying AI solutions at scale.
7. Experience in scaling generative models and deploying them in production environments.
8. Excellent communication skills to articulate technical concepts to non-technical stakeholders.

Education and Languages: Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred). Fluency in written and spoken English. Fluency in written and spoken Spanish.

Perks: We want our team members to thrive both personally and professionally. Here's what we offer:

1. Flexible work environment: Hybrid or fully remote options tailored to your lifestyle.
2. Competitive salary & stock options: Opportunity for equity ownership in a growing company.
3. Generous paid time off: 23 vacation days per year, plus additional holidays.
4. Professional growth: A learning and development budget for courses, certifications, and conferences.
5. Cutting-edge projects: Be part of a team that's at the forefront of AI governance and work with cutting-edge technologies and innovation.
6. Dynamic work environment: Opportunity for professional growth through overcoming challenges in a dynamic sector within a startup environment.
7. Growth & performance: Clear growth pathways with regular performance reviews, and opportunities for salary increases based on meeting or exceeding targets.