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Senior AI-ML Platform Engineer / Tech Lead
On-site in Mollet del Valles·Full-time·Added 1 month ago
Overview
Job details
Full-time hours
Per the ad.
Requirements
Have the right to work in Spain
Merck doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Work on-site in Mollet del Valles
No relocation package mentioned.
Have 8+ years of experience
Senior-level role.
Pay & benefits
What you'll get
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Requirements
What we're looking for
- 8 or more years of relevant industry experience in software or platform engineering, including at least 2 years working with large language model operations (LLMOps) in a production environment.
- Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry, and AWS Bedrock.
- Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.
- Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus.
- Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.
- Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.
- Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.
- Demonstrated ability to lead professional engineers, set team priorities, and drive platform quality - balancing hands-on technical depth with team accountability and a focus on scalable, well-governed engineering.
The role
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
What you'll do
As a Senior AI/ML Platform Engineer and Technical Lead, you will be at the heart of building and evolving the AI/ML platform that powers intelligent capabilities across the organisation. In this role, you will lead a team of professional engineers: setting clear objectives, supporting their development, and being accountable for the quality, accuracy, and timeliness of the team's output.
You will solve complex, operationally important engineering challenges by filtering and prioritising inputs from a wide range of internal and external sources, drawing on an in-depth understanding of how platform sub-functions work together. Acting as a key technical liaison across Cloud, Cybersecurity, Governance, and adjacent engineering teams, you will ensure the platform remains aligned with enterprise standards and emerging best practices. Your decisions will be guided by resource availability and organisational objectives, and you will contribute to defining team responsibilities, engineering standards, and platform governance practices that raise the quality bar across closely related teams.
Hiring process
Online application
Application review
Behaviour-based interviews
With HR team and hiring managers
Consistent behaviour-based questions about your experience, skills and attitude; by phone, video and/or face to face.
Assessment centre
Not every role
Half-day event assessed against behavioural criteria; may include presentations, group exercises, case studies and role plays.
- Expect to hear back within about two weeks of submitting an application.
- Dress code and interview details are confirmed by the recruiter with the invitation.
About Merck
Merck is a global science and technology company headquartered in Darmstadt, Germany, operating across healthcare, life science, and electronics. With over 60,000 employees worldwide, it is one of the world's largest pharmaceutical and chemical companies, known for innovative medicines, laboratory solutions, and advanced materials. The company's life science division provides products and services for research and bioproduction, while its healthcare segment focuses on oncology, immunology, and neurology.
In Spain, Merck has a significant presence with offices in Madrid and Barcelona, supporting its healthcare and life science operations. The company is known for a collaborative and international work culture, offering opportunities for professionals in areas like data science, AI, software engineering, and healthcare quality. For international hires, Merck provides a dynamic environment with a strong emphasis on innovation and professional development, making it an attractive employer for those looking to advance their careers in Spain.
- Industry
- Life Science
- Founded
- 1668
- Employees
- 50,000–100,000
- Headquarters
- Darmstadt, Germany
- In Spain
- Madrid, Barcelona
- Website
- merckgroup.com
Good to know if you are moving
- Merck is a global leader in life science and healthcare, offering international career opportunities.
- The company has a strong presence in Spain, with offices in Madrid and Barcelona, providing a base for professionals in the region.
- Merck emphasizes innovation and research, with many roles in AI, data science, and engineering.
- The company offers internships and trainee programs, ideal for early-career professionals.
- Merck's work culture is collaborative and international, with English often used in professional settings.
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