Machine Learning Engineer

buscojobs España; Barcelona; Presencial; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A leading company in Barcelona is seeking a highly skilled Machine Learning Engineer to architect and deploy advanced AI systems, particularly in Generative AI. The role involves strategic development, tactical implementation, and project leadership, requiring deep technical expertise and collaboration with cross-functional teams. The ideal candidate will have a strong background in ML and Generative AI, with a focus on innovative product development and operational excellence.

Servicios

Home office setup allowance

Training programs including language classes

Restaurant ticket or flexibility for other benefits

Life, accident, and health insurance

Collective life retirement plan

Referral bonus

Exclusive employee discounts

Functional diversity benefits

Company events

No dress code

Formación

• 5+ years of experience in building and deploying machine learning models.
• Proven experience in Generative AI.
• Expertise in ML frameworks and deep learning architectures.

Responsabilidades

• Collaborate to shape AI/ML strategy focused on Conversational AI.
• Design, build, and deploy AI solutions driving innovation.
• Lead end-to-end process of AI projects from ideation to production.

Conocimientos

Machine Learning

Generative AI

Python

MLOps

NLP

Cloud Platforms

Educación

Bachelor’s or Master’s degree in Computer Science or related field

PhD preferred

Descripción del empleo

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 specific focus on Conversational AI applications and opportunities 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 to ensure scalable deployment.
• Project Leadership : Lead the end-to-end process of AI projects, from ideation and prototyping to production and monitoring, ensuring integration with existing 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 in product development.
• Collaboration : Work closely with data scientists, engineers, and product teams to implement robust generative models, ensuring smooth integration into the product lifecycle.
• Emerging Technologies : Stay updated with the latest trends in Generative AI continuously bringing new ideas for AI-driven innovation.
• Mentorship : Provide guidance and technical mentorship to junior engineers on AI / ML best practices, with a focus on AI technologies.

Your Skills and Experience

As an ML Engineer your skills and qualifications will ideally include :

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 solution 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 version control of models.
• Knowledge of product design principles using AI and ability to drive cross-functional AI projects with a generative component.

What we offer?

• Over 300 euros to set up your home office and additional monthly home office allowance
• Wide range of internal and external trainings , including free English, German and Spanish classes depending ontheneeds
• Ticket restaurant or flexibility to exchange it for other benefits
• Life, accident, and Health Insurance
• Collective Life Retirement Plan
• 2000 referral bonus if you bring other talented people like you
• Special banking and insurance conditions plus Exclusive Employees discounts
• Functional diversity benefits
• Events : summer and Christmas party, different activities like hiking, investment, beach volley club and many more
• No dress code

Who we are

Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.

Diversity & Inclusion

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race / ethnicity, religion, gender, sexual orientation, age or disability.

So be challenged. Be inspired. Help us make a difference.

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great!

Join us as we constantly explore new ways to .

• Location(s) : ES - Barcelona
• Schedule : Full Time

Machine Learning Engineer • Barcelona, ES