Data/ML Engineer (m/d/f)

at  Caresyntax

Our vision: Our vision is to make surgery safer and smarter to help patients and caregivers when it matters most. Caresyntax is the only solution you need to make surgery smarter, safer, and more profitable. Our vendor-agnostic surgical technology platform enables you to capture new insights from video and harness new and existing healthcare data across your enterprise to streamline workflows, improve care delivery, and enhance patient outcomes – in and around your OR.

C.R.I.C., OUR VALUES:

**Customer Focus |Prioritizing customer needs with empathy and passion for customer satisfaction.
**Resilience |Ownership to take initiative, follow through, persevere and do the right thing, even when it is challenging.
**Innovation |A pioneering mindset and data-driven approach to urgently solve business and market challenges.
**Collaboration |Acting as one team to intentionally foster work, communication and knowledge sharing.
Tasks
We’re looking for a Data/ML Engineer to join our Computer Vision team, focusing on building end-to-end Data pipelines, MLOps, and integrating large language models (LLMs).
Caresyntax is expanding rapidly in the EU market to serve EU-based hospitals and medical device companies. Our Computer Vision team aims to deliver intelligent solutions to assist surgical operations through the analysis of high-fidelity surgical videos. This critical role involves participating in the design, development, and maintenance of our AI solutions to provide high-performance experiences for end users, such as surgeons. You will work closely with cross-functional teams to ensure our solutions are scalable, efficient, and effective.

Requirements

• 2-3 years of relevant or transferable experience (e.g., Data/Ops, Computer Vision/Machine Learning, CI/CD including GitLab, and DevOps/MLOps infrastructure/pipelines).
• Comfortable with modern, cloud-native computing paradigms such as the Docker/Kubernetes ecosystem on AWS or a similar cloud provider.
• Familiarity with Terraform IaC for infrastructure management.
• Familiarity with data-oriented workflow orchestration frameworks like Airflow.
• Familiarity with the architecture and operation of large language models, and a clear understanding of their capabilities and limitations.
• Thorough understanding of Generative AI architectures (e.g., Retrieval Augmented Generation RAG).
• Experience in development of Linux systems.
• Strong coding skills in Python.
• Healthcare experience is a significant plus.
• Excellent communication, creativity, and problem-solving skills

Education & Experience

• 1+ years experience building production-quality software.
• Bachelors or Master’s degree and/or equivalent professional experienc

• Infrastructure Development & Management: Design, build, and scale robust infrastructure using Terraform IasC for efficient machine learning model deployment, including orchestration, version control, and monitoring systems to ensure reliability and performance.
• Automation & CI/CD Integration: Develop automation pipelines for model lifecycle management and integrate CI/CD practices for consistent model delivery.
• Production Deployment & Monitoring: Deploy machine learning models into production environments and establish monitoring and alerting systems. Track model performance, health, and data drift while proactively troubleshooting issues and optimizing model efficiency.
• Data Collection & Preparation: Gather and preprocess data from diverse sources, including structured data from data lakes, transactional databases, Electronic Health Records (EHR), as well as unstructured data from videos, images, and PDFs.
• MLOps Infrastructure: Design and manage MLOps infrastructure on cloud platforms such as AWS and GCP to support scalable and efficient machine learning operations.
• Generative AI & Text Processing: Develop and refine prompts for large language models (LLMs) and implement advanced text processing and retrieval-augmented generation (RAG) techniques. Focus on generating, summarizing, and analyzing text, images, and video to ensure high-quality, relevant, and contextually accurate outputs.
• Code Review & Quality Assurance: Conduct thorough code reviews to maintain high standards of code quality and ensure adherence to best practices in software development.
  At Caresyntax, we believe diversity goes far beyond checkboxes on a hiring form. Come as you are and with your unique knowledge! You might just hold the piece we’ve been yearning to find, completing the puzzle of our team in a way we never imagined.

Requirements

• 2-3 years of relevant or transferable experience (e.g., Data/Ops, Computer Vision/Machine Learning, CI/CD including GitLab, and DevOps/MLOps infrastructure/pipelines).
• Comfortable with modern, cloud-native computing paradigms such as the Docker/Kubernetes ecosystem on AWS or a similar cloud provider.
• Familiarity with Terraform IaC for infrastructure management.
• Familiarity with data-oriented workflow orchestration frameworks like Airflow.
• Familiarity with the architecture and operation of large language models, and a clear understanding of their capabilities and limitations.
• Thorough understanding of Generative AI architectures (e.g., Retrieval Augmented Generation RAG).
• Experience in development of Linux systems.
• Strong coding skills in Python.
• Healthcare experience is a significant plus.
• Excellent communication, creativity, and problem-solving skills.

Nice to have

• Understanding of high-performance computing on GPUs via frameworks like PyTorch, TensorRT
• MLOps experience in terms of model monitoring, data drift detection, re-training implementation, model roll-back, for machine learning solutions
• Python for ML or backend development

Education & Experience

• 1+ years experience building production-quality software.
• Bachelors or Master’s degree and/or equivalent professional experience

Benefits

• We offer you a permanent working contract with a competitive remuneration package!
• 10 Childsick days fully covered.
• Warm-hearted, flexible, and solution-oriented culture with open feedback culture with performance review to accelerate your career goals!
• International environment with more than 30 different nationalities!
• Work-Life-Balance: Flexible working hours!
• Wellness (at)CX: Wellness Bonus! A Wellness Stipend of 400 € net annual benefit to contribute to your personal health and wellness.
• You will get access to a learning management tool to attend trainings and improve your skills and an yearly budget of 1,000€ to further develop your skills!
• Access to the EAP (Employee Assistance Program) – Solution and support advice in regard to: mental and physical health, employment guidance, personal, family, financial and legal issues and questions.
• We offer you a vibrant workspace! Regular team events included Christmas and summer parties!
• Free coffee and drinks with weekly fresh fruit!
• Free Corporate Massages!

Caresyntax is an equal opportunity employer. We encourage individuals from diverse backgrounds to apply. We are dedicated to making our technology accessible and available to everyone. All employment decisions are made without regard to race, color, national origin, gender identity or expression, sexual orientation, age, religion, disability, medical condition, pregnancy, marital status, family status, or any other characteristic protected by law