HealthTech AI Engineering Lead — Equity for Impact

DigiTech Resourcing

Barcelona

On-site

EUR 90,000 - 125,000

Full time

2 days ago
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Benefits offered by this job

Equity

Job summary

DigiTech Resourcing is seeking an AI Engineering Manager to lead development of AI solutions in a fast-growing HealthTech start-up. You will shape the technical direction and build the engineering function, working closely with founders and clinical teams to deliver tangible patient outcomes.

The role emphasizes production-grade ML, MLOps, and ownership in an early-stage environment, with competitive compensation and equity opportunities.

Qualifications

  • Proven experience as AI Engineering Manager, ML Engineering Lead or similar.
  • Strong technical foundations in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Experience taking AI/ML models from experimentation through to production.
  • Experience leading, mentoring or building AI/ML engineering teams.
  • Understanding of ML infrastructure, data pipelines, model deployment and MLOps.
  • Comfortable operating in an early-stage environment, taking ownership and making key technical decisions.
  • Genuine interest in Tech for Good and using AI to create meaningful, positive change.
  • Experience within HealthTech, Life Sciences or working with regulated data is a plus.

Responsibilities

  • Lead the development of AI solutions and shape the technical direction.
  • Build out and scale the AI/ML engineering function.
  • Collaborate with founders and clinical teams to translate data into healthcare impact.

Skills

AI Engineering Manager
Python
ML Frameworks (PyTorch, TensorFlow, Sc

Tools

PyTorch
TensorFlow
Scikit-learn

Job description

DigiTech Resourcing is seeking an AI Engineering Manager to lead development of AI solutions in a fast-growing HealthTech start-up. You will shape the technical direction and build the engineering function, working closely with founders and clinical teams to deliver tangible patient outcomes.

The role emphasizes production-grade ML, MLOps, and ownership in an early-stage environment, with competitive compensation and equity opportunities.

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