TL;DR
Senior Artificial Intelligence/Machine Learning Engineer (AI): Architecting and optimizing an end-to-end MLOps ecosystem for high-scale predictive platforms with an accent on bridging the gap between Data Science R&D and production-grade reliability. Focus on designing scalable Kubernetes/AWS pipelines, automating MLOps lifecycles, and driving innovation in real-time/batch inference.
Location: Remote from Spain. This role offers a hybrid work setup in Málaga.
Company
hirify.global is a custom product engineering company that supports multinational organizations and scaling startups to solve their most complex business challenges with a global team of over 4,000 skilled professionals.
What you will do
- Lead the ML infrastructure roadmap and drive innovation in real-time and batch inference.
- Architect scalable Kubernetes and AWS pipelines.
- Automate MLOps lifecycles for predictive platforms.
- Mentor mid-level engineers and establish organization-wide best practices.
- Translate complex ML concepts into actionable business KPIs.
- Engineer experiences of tomorrow as part of a cross-functional development team.
Requirements
- Expertise in AWS and Python is essential.
- Strong experience with Kubernetes, MLOps, Kafka, and Stream Processing.
- Proficiency in SQL and Go.
- Experience with CI/CD and Infrastructure as Code (Terraform).
- Demonstrated strategic design and agile leadership skills.
- Proven ability in PoC validation and mentoring.
- English proficiency is required.
Culture & Benefits
- Comprehensive company-paid medical insurance and 4 additional undocumented sick leave days.
- Tailored education path including internal events, Udemy license, language courses, and company-paid certifications.
- Opportunities to share experience and level up expertise with a global community of skilled professionals.
- Flexible working hours with the ability to decide your start time, ensuring work-life balance.
- 23 vacation days and short Fridays.
- Internal Mobility Program to facilitate project changes for professional growth.
- Work on large-scale projects with international, fast-growing clients, making a global impact.
- Welcoming environment with a friendly team, open-door policy, and regular team-building events.
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