AI Technical Leader
Alcobendas, Spain
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HORSE
HORSE designs, develops, manufactures and sells the full range of technologies to make mobility more sustainable.About Horse Technologies
Horse Technologies is part of Horse Powertrain Limited ā an independent new powertrain solutions business, with over 125 years of heritage from Renault and Geely. We develop and produce world-class hybrid and combustion engines and transmissions to move our industry forward, offering many different paths to net zero.Ā
Why join us?
At Horse Technologies, a division of Horse Powertrain, youāll have opportunities to grow your career while making a difference. This is a dynamic, international environment, staffed by caring and collaborative people. If youāre ready to create excellence with us, youāll be appreciated and rewarded.
The AI Technical Leader for HORSE will be responsible for driving the implementation and evolution of Artificial Intelligence and Machine Learning (AI/ML) solutions across our technology landscape. This role will play a critical part in supporting our architecture team, defining AI/ML frameworks and governance, and managing AI projects across the enterprise ā ensuring scalable, ethical, and integrated use of AI technologies throughout the company.
The ideal candidate should have strong expertise in ML / AI Ops frameworks and AI architecture methodologies,combined with excellent leadership, communication, and project management skills. This role requires the ability to collaborate with cross-functional teams, translate business needs into actionable insights.
What you will do
- AI Solution Architecture SupportĀ Collaborate with the architecture team to design and integrate AI solutions into the existing HORSE technology ecosystem, ensuring alignment with enterprise architecture standards and scalability needs.
- ML&AIOps Framework Development Define and maintain the framework for Machine Learning and AI operations (ML&AIOps), including best practices for model lifecycle management, monitoring, deployment, and documentation.
- AI Governance DefinitionĀ Establish the governance model for AI across the organization, including standards, policies, and ethical guidelines for responsible AI usage, model accountability, and compliance.
- Cross-Functional AI Project LeadershipĀ Lead AI project initiatives across departmentsānot limited to the data lakehouseāensuring the successful delivery of AI features in various applications throughout the company.
- Documentation and StandardsĀ Establish project documentation standards and ensure consistent implementation across AI initiatives, enabling knowledge sharing and operational consistency.
- Stakeholder CollaborationĀ Act as the technical liaison between data scientists, architects, developers, and business stakeholders to ensure AI solutions are fit-for-purpose and add measurable value.
What we are looking for
- At least 4 years of proven experience leading technical AI/ML projects in a complex enterprise environment.
- Strong understanding of AI/ML lifecycle management, operations (MLOps), and enterprise-scale architecture.
- Knowledge of AI governance practices, including data ethics, bias mitigation, compliance, and risk management.
- Excellent problem-solving, communication, and stakeholder management skills.
- Excellent technical, analytical, and project management skills to lead and deliver large-scale AI initiatives.
- Desirable:
- Technical background in data engineering, analytics, or data science.
- Hands-on knowledge of Google Cloud Platform (GCP) and its AI/ML tools (Vertex AI, BigQuery ML, etc.).
- Experience with modern data architectures (e.g., lakehouse patterns) and associated technologies.
- Familiarity with data privacy laws (e.g., GDPR) and responsible AI practices in enterprise environments.
What we offer
- A supportive and collaborative work environment.
- Opportunities to work on real projects and make a tangible impact.
- A chance to develop a diverse skill set in communication.
- Benefits: Competitive salary with fixed and variable component, life insurance and pension plan
We believe that diversity drives innovation, and we encourage candidates from all backgrounds to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: AI governance AIOps Architecture BigQuery Engineering GCP Google Cloud Machine Learning MLOps Privacy Responsible AI Vertex AI
Perks/benefits: Career development Competitive pay
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