Machine Learning Engineer (MLOps)

TL;DR

Senior Machine Learning Engineer (MLOps): Building and optimizing hirify.global's ML Platform and MLOps practices with an accent on improving speed, reliability, and maintainability. Focus on defining the long-term vision and roadmap for MLOps and integrating new frameworks for scalable model deployment and monitoring.

Location: Must be based in Barcelona, Spain or be able to relocate to Spain. This is a hybrid role requiring a minimum of 6 days per month in the office.

Company

hirify.global is a Barcelona-based scale-up empowering conscious consumption and operating a marketplace for unique goods and services in Spain, Italy, and Portugal.

What you will do

• Iterate and maintain hirify.global’s ML Platform, defining its long-term vision and roadmap for MLOps.
• Partner with Data Scientists to provide tooling for developing, deploying, and monitoring scalable models efficiently.
• Define and promote engineering best practices, including coding standards, testing, and CI/CD within the ML domain.
• Align ML development with company-wide infrastructure and data governance standards through collaboration with Data Engineering and DevOps.
• Investigate and integrate new frameworks and tools, such as for LLMs or real-time inference, to keep the tech stack modern.

Requirements

• Proven experience building and owning production-ready ML platforms and pipelines, understanding the full lifecycle from experimentation to monitoring.
• Deep understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes.
• Strong software engineering background with proficiency in Python, Git, and CI/CD workflows.
• Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference.
• Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI).
• Familiarity with orchestration/tracking tools (Flyte, MLFlow, Feast) and standard ML libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
• Professional proficiency in English and Spanish.

Nice to have

• Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex.
• Familiarity with Big Data technologies like Spark or Beam.
• Experience with Data Engineering tools such as Airflow, dbt, or Datahub.
• Experience with other cloud platforms like GCP or Azure in addition to AWS.

Culture & Benefits

• Competitive phantom shares package for all employees.
• Generous individual learning budget of 2k per year.
• Group and individual English, Catalan & Spanish lessons.
• Private Health Insurance with Alan.
• Flexible working hours and intensive Fridays.
• Flexible remuneration options (kindergarten/food/transport check).
• Gym & Wellness plan, including physiotherapist in the office.
• Generous referral Program & Charity Donation.
• Bonus for weddings & newborns, and hirify.global Renta (Tax income support).
• Monthly plan for free shipping, bumps & home-pick-up on hirify.global services.
• Work anniversary Gifts and Birthday Surprises.
• Contribution towards your WIFI and a one-off payment for home office setup.
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable.
• 26 holidays per year and top hardware of your choice (latest Apple or Windows).

Hiring process

• Intro Call (45-60 minutes) with Talent Acquisition.
• Technical Task to assess required technical skills.
• Expertise Interview (60-90 minutes) with the core team.
• Stakeholder Interview (60 minutes) with the hiring team and relevant stakeholders.
• Culture-Add Interview (60 minutes) with culture interviewers.
• Offer discussion and written confirmation. All interviews take place remotely over hangouts.