Remote Solution ML Architect

Description:

• We are seeking a Solution ML Architect with over 10 years of professional experience in software design and development.
• The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with proven experience in Cloud Data pipelines, ideally in the ML context.
• As an ML Architect, you will play a key role in our innovation organization, producing high-level approaches for our ML systems.
• You will align with other peers, Tech Leads, and Data Scientists on the best practices for this domain.
• This position involves working on Machine Learning related projects, focusing on Cloud Data Pipelines and/or AI/ML systems.
• Responsibilities include designing scalable software systems with a focus on quality, performance, and maintainability.
• You will lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards.
• Collaborate with Research Leads and Product Owners to gather requirements, design ML pipelines, and coordinate software delivery.
• Create and maintain documentation for the different initiatives the team is participating in.
• Participate or lead design conversations among systems and other Architects/Principal Engineers for critical systems that can be on-premise or Cloud.
• Work with stakeholders and the Data Science team to design monitoring pipeline strategies.

Requirements:

• Candidates must have 10+ years of professional experience in software development.
• A minimum of 5+ years of experience leading teams and/or systems designs is required.
• A strong foundation in software engineering principles and architecture is essential.
• Proficiency in designing software architecture and data pipelines is necessary.
• Experience in delivering cloud architectures, such as Azure, AWS, or GCP, is required.
• Candidates should have experience working in Agile/Scrum environments; SAFE experience is a plus.
• Excellent communication skills in English, both written and verbal, are mandatory.

Benefits:

• The position offers a competitive salary based on experience and skills.
• Flexible working hours and the possibility of remote work are provided, with the team meeting at the office 1-2 times per month in Madrid or Valladolid.
• There are opportunities for career growth and professional development.
• The work environment is collaborative and inclusive.
• Additional benefits include a flexible working environment, volunteer time off, access to LinkedIn Learning, and an Employee-Assistance-Program (EAP).