DataML Engineer mdf

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 vendoragnostic 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 datadriven approach to urgently solve business and market challenges.

**Collaboration Acting as one team to intentionally foster work communication and knowledge sharing.

Tasks

Were looking for a Data/ML Engineer to join our Computer Vision team focusing on building endtoend Data pipelines MLOps and integrating large language models (LLMs).

Caresyntax is expanding rapidly in the EU market to serve EUbased hospitals and medical device companies. Our Computer Vision team aims to deliver intelligent solutions to assist surgical operations through the analysis of highfidelity surgical videos. This critical role involves participating in the design development and maintenance of our AI solutions to provide highperformance experiences for end users such as surgeons. You will work closely with crossfunctional teams to ensure our solutions are scalable efficient and effective.

Tasks:

• 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 retrievalaugmented generation (RAG) techniques. Focus on generating summarizing and analyzing text images and video to ensure highquality 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 weve been yearning to find completing the puzzle of our team in a way we never imagined.

Requirements

• 23 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 cloudnative computing paradigms such as the Docker/Kubernetes ecosystem on AWS or a similar cloud provider.
• Familiarity with Terraform IaC for infrastructure management.
• Familiarity with dataoriented 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 problemsolving skills.

Nice to have

• Understanding of highperformance computing on GPUs via frameworks like PyTorch TensorRT
• MLOps experience in terms of model monitoring data drift detection retraining implementation model rollback for machine learning solutions
• Python for ML or backend development

Education & Experience

• 1 years experience building productionquality software.
• Bachelors or Masters degree and/or equivalent professional experience

Benefits

• We offer you a permanent working contract with a competitive remuneration package!
• 10 Childsick days fully covered.
• Warmhearted flexible and solutionoriented culture with open feedback culture with performance review to accelerate your career goals!
• International environment with more than 30 different nationalities!
• WorkLifeBalance: 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 1000 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.