We are looking for passionate individuals who want to grow in an ethics-driven environment that promotes sustainability and diversity. Join us in building a truly inclusive culture.

About the Role

Job Title: MLOps Engineer (LLMs)
Department: Technical
Location: San Sebastian, Spain
Employment Type: Full-time
Workplace Type: Hybrid
Seniority Level: Mid-Senior level

Responsibilities

• Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients.
• Join a world-class team of Quantum experts with extensive experience in both academia and industry.
• Collaborate with the founding team in a fast-paced startup environment.
• Design, develop, and implement Machine Learning (ML) and Large Language Model (LLM) pipelines, including:
  • Data acquisition
  • Preprocessing
  • Model training and tuning
  • Deployment and monitoring
• Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes.
• Establish and maintain comprehensive monitoring and alerting systems for Large Language Model performance.
• Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs.
• Collaborate with Product and DevOps teams and Generative AI researchers to optimize model performance.
• Manage and maintain cloud infrastructure (e.g., AWS, Azure) for Large Language Model workloads.
• Stay updated with the latest developments in ML/LLM Ops and integrate advancements into generative AI platforms.
• Communicate effectively with both technical and non-technical stakeholders.

Required Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.
• Mid-level: 2+ years of experience as an ML/LLM engineer in public cloud platforms.
• Senior-level: 5+ years of experience as an ML/LLM engineer in public cloud platforms.
• Proven experience in MLOps, LLMOps, or related roles.
• Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads.
• Proficiency in programming languages such as Python and distributed computing tools.
• Strong understanding of Generative AI architectures and methods.
• Experience with Azure Machine Learning and Azure Kubernetes Service.
• Proficient in English; Spanish is a plus.
• Great communication skills and a passion for collaboration in an international environment.

Preferred Qualifications

• Experience in training “Mixture-of-Experts".
• Experience with different public cloud providers and hybrid environments.
• Experience in real-time streaming applications.
• Familiarity with Azure Data Lake, Azure Data Factory, and Azure Monitor.

Perks & Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• Work visa sponsorship (if applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity with flexible working hours.
• Flexible remuneration options for hospitality and public transportation.
• Language classes and discounted lunch options.
• Opportunity to work in a high-paced environment with cutting-edge technologies.
• Career plan with opportunities to learn and teach.
• Commitment to building an inclusive workplace for individuals from diverse backgrounds.