Senior Manager Data Science (AI/ML)

TL;DR

Senior Manager Data Science (AI/ML): Leading technical direction for computer vision-based vehicle damage detection and LLM-powered components with an accent on ML roadmap ownership, scalable data/ML systems on GCP, and driving production MLOps. Focus on architecting high-scale data/ML systems, solving complex MLOps challenges, and fostering technical excellence.

Location: Onsite in Madrid or Seville, Spain

Company

hirify.global is a company leveraging AI and data assets to develop innovative, production-grade components that make vehicle claims and ownership simpler, faster, and more efficient.

What you will do

• Lead technical direction for computer vision, tree-based models, and LLM-powered components.
• Own the ML roadmap, translating business goals into measurable technical plans, milestones, and KPIs.
• Architect scalable data/ML systems on GCP (BigQuery, Dataflow, Vertex AI) for training and serving models.
• Drive production MLOps practices including containerization, GKE/Cloud Run, observability (Grafana), and cost/performance tuning.
• Manage, coach, and grow ML Engineers, fostering a culture of clarity, ownership, and high standards.
• Recruit and onboard top talent, building an inclusive, globally distributed team.

Requirements

• Proven leadership of ML initiatives from problem framing to production at scale.
• Deep experience with Computer Vision models (classification, detection, segmentation) and shipping them with TensorFlow/PyTorch.
• Strong software engineering and MLOps fundamentals: testing, CI/CD, containers, Kubernetes, monitoring.
• Expertise with large-scale datasets and distributed processing on GCP (BigQuery, Dataflow) or similar.
• Experience with tree-based models and integrating LLM APIs into production workflows.
• Effective communication across an internationally distributed team.

Nice to have

• Vertex AI pipelines.
• GPU optimization and cost/performance tuning for training/inference.
• Domain experience in insurance, automotive, or related computer vision applications.

Culture & Benefits

• Monorepo with strong build system, CI/CD, and code quality practices.
• Freedom to choose the best tool for the job with high autonomy and ownership.
• Production mindset focused on reliability, observability, maintainability, and measurable impact.