AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer: Leading the end-to-end design, development, and deployment of strategic AI and LLM-powered solutions with an accent on scalable architecture and production-grade ML pipelines. Focus on driving technical innovation, mentoring cross-functional teams, and aligning complex AI initiatives with organizational business strategies.
Location: Hybrid role requiring regular engagement at office hubs in Madrid or Lausanne.
Company
is a leading open-access research publisher dedicated to making peer-reviewed, quality-certified science openly accessible to the global research community.
What you will do
- Define and architect scalable AI systems integrating data processing, traditional ML, and LLM methodologies.
- Direct the development, deployment, and continuous optimization of ML pipelines and LLM models in production.
- Align technical AI innovation with organizational business strategies and OKRs.
- Provide mentorship and leadership to team members, fostering quality and knowledge-sharing.
- Lead complex troubleshooting and problem-solving to ensure robust and reliable AI deployments.
Requirements
- 5–8+ years of professional AI experience with a track record of leading enterprise-scale systems.
- Expert proficiency in Python, SQL, cloud platforms (AWS, Azure, or GCP), and container orchestration (Docker, Kubernetes).
- Extensive experience with production ML frameworks, LLM fine-tuning, prompt engineering, and Apache Airflow.
- Strong leadership and strategic communication skills to convey complex technical concepts to stakeholders.
- Ability to adapt and integrate evolving AI techniques into existing workflows.
Nice to have
- Experience with infrastructure as code (Terraform) and data governance practices.
- Demonstrable experience in secure and robust AI deployments.
- Deep interest in generative AI and continuous professional knowledge-building.
Culture & Benefits
- Balanced hybrid working model fostering collaboration and team culture.
- 4 additional wellbeing days on top of standard annual leave.
- Access to learning platforms and dedicated professional development time.
- Wellbeing initiatives including free online yoga and employee assistance plans.
- Volunteer opportunities with three dedicated days per year.
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