AI Engineer

Platomics GmbH

2h • $90,000 - $100,000 • Hybrid

About The Position

Strict new European Union medical regulations are putting healthcare manufacturers and laboratories at risk. Many lack the knowledge and resources to stay compliant—threatening closures, limiting diagnostic options, and ultimately compromising the quality of care patients receive.
This is where Platomics steps in. We are connecting and synchronizing Healthcare to Improve Patient Life by building innovative solutions that seamlessly integrate with existing healthcare ecosystems, turning complex regulatory compliance into a fast, straightforward process.
Candidates should be prepared to work in a fast-paced environment, collaborating with a dynamic team from across Europe.
We are seeking a AI Engineer to join this mission.
📍: We are a distributed team and aim to create opportunities for people to come together in person. Our headquarters are in Vienna, Austria and while we are open to remote candidates, presence in Vienna is highly preferred.
The Role
We are seeking a senior AI/ML leader to define and execute our organization’s AI and machine learning vision. This role will drive transformational initiatives across document processing, unstructured data, and production-grade AI systems, delivering measurable business impact at scale.
As a technical authority and strategic partner to leadership, you will shape architecture, influence product strategy, and build AI capabilities that create durable competitive advantage while ensuring responsible, reliable, and compliant AI deployment.

Requirements

• Master’s degree in Computer Science, AI/ML, Data Science, or related field (Ph.D. preferred or equivalent experience)
• 7+ years in AI/ML engineering or data science
• 5+ years deploying production AI/ML systems at scale
• Proven record of delivering high-impact AI initiatives
• Experience with NLP, document processing, computer vision, or unstructured data
• Experience with hybrid rule-based and ML/LLM systems
• Deep expertise in ML and deep learning architectures
• Production AI experience including MLOps, monitoring, and deployment
• Strong Python and modern ML framework experience
• Cloud platforms (AWS, Azure, or GCP)
• Strong strategic thinking and ability to connect technology to business outcomes

Nice To Haves

• Experience in regulated or high-risk domains preferred

Benefits

• Work in a company that has a truly meaningful impact: with our work, we will improve healthcare for millions of people
• The opportunity to help shape our company culture for sustainable and collaborative growth
• Flexible working hours - because you know best when it is the best time to do your work
• Confidential and professional counseling service whenever you might need it

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level