Machine Learning Engineer
Our Opportunity
We are seeking a highly skilled ML Engineer to join our team. The ideal candidate will have extensive experience in machine learning (ML) and Generative AI , focusing on both the strategic and tactical development of AI solutions. You will architect and deploy advanced AI systems, particularly around Generative AI , leveraging your deep technical expertise to build innovative products, solve complex problems, and guide AI-driven strategies for the business.
Your Role
As an ML Engineer, your main responsibilities will involve :
- Strategy Development : Collaborate with leadership to shape AI / ML strategy, with a focus on Conversational AI applications that align with company objectives.
- Tactical Implementation : Design, build, and deploy AI solutions that drive innovation in product development and operational processes.
- Technical Expertise : Develop and optimize generative models for real-world applications; implement MLOps practices for scalable deployment.
- Project Leadership : Lead end-to-end AI projects, from ideation and prototyping to production and monitoring, ensuring integration with business systems.
- Generative AI Product Development : Spearhead the creation and integration of Generative AI models for personalized experiences, content generation, or other innovative use cases.
- Collaboration : Work with data scientists, engineers, and product teams to implement robust generative models and ensure smooth integration into the product lifecycle.
- Emerging Technologies : Stay updated with latest trends in Generative AI and contribute ideas for AI-driven innovation.
- Mentorship : Provide guidance and technical mentorship to junior engineers on AI / ML best practices.
Your Skills and Experience
Required Qualifications :
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred).5+ years of experience in building and deploying machine learning models, with proven experience in Generative AI .Expertise in Python and ML frameworks, and deep learning architectures for generative models.Proven experience in cloud platforms such as AWS or Azure for AI deployment.Experience in developing products utilizing Generative AI models , such as image generation, natural language generation, or synthetic data generation.Strong understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and Generative AI techniques .Experience in scaling generative models and deploying them in production environments.Excellent communication skills to articulate technical concepts to non-technical stakeholders.Preferred Qualifications :
Experience in NLP , computer vision , and deploying large language models (LLMs) for content generation.Hands-on experience with fine-tuning LLMs.Experience with MLOps frameworks and model version control.Knowledge of product design principles using AI and ability to drive cross-functional AI projects with a generative component.Additional benefits include a home office setup allowance, internal and external training, language classes, and various insurance and financial benefits.Primary work location is Barcelona, Poblenou. Please apply with your CV in English .
Who We Are
Looking for a challenging and inspiring work environment where you can make a difference? At Zurich, millions trust our products and services daily. Our 53,000 employees worldwide form the basis of our success, enabling businesses and communities to face risks confidently. Join us to help protect what people love most and be part of a supportive, innovative team.
Diversity & Inclusion
We are an equal opportunity employer, committed to attracting and retaining the best talent regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability.
Be challenged. Be inspired. Help us make a difference. Join us as we explore new ways to protect our customers and the planet.
Location : ES - BarcelonaSchedule : Full TimeJ-18808-Ljbffr