Someone who will join our journey to develop diagnostic tools based on the latest machine learning, Deep Learning and GenAI techniques.

The ideal candidate will possess hands-on experience with ML/DL techniques, including significant NLP experience, and proven track record in building and deploying LLM-native apps. As we are in the process of building our product and services, each new team member can significantly impact our technology, team, and product. Joining us at this juncture offers a unique opportunity to grow in responsibilities and influence as our company expands.

The role – As a Data Scientist, your key responsibilities will include:

• Conducting research and experiments to leverage generative AI models and techniques to solve real-world challenges in healthcare.
• Designing and implementing LLM-native pipelines, including fine-tuning existing generative AI models and developing applications based on them.
• Collaborating with cross-functional teams to enhance our medical file summarization tool, which helps physicians better manage and improve the patient journey for individuals with autoimmune diseases.
• Driving innovation in digital healthcare by applying AI to streamline and optimize the use of medical data.

Job requirements

• 1+ years of hands-on experience with demonstrated success in developing and deploying LLM-native applications in production.
  • RAG & structured generation frameworks (e.g. LangChain, LlamaIndex, Outlines) – advantage
  • GraphRAG and graph databases experience (e.g. Neo4j) – advantage
• 5+ years of hands-on experience in data science and machine learning, including training and deploying models over tabular and textual data, with a proven track record in delivering impactful AI solutions in production.
• Academic degree in exact sciences or relevant engineering
• Proficiency in python.
• Experience with cloud platforms (e.g., AWS, GCP, Azure), docker, linux OS and scripting, NoSQL databases and production-grade AI deployment
• Curiosity, passion for quality and efficiency, and an ability to encounter and independently solve technical challenges
• Experience in Digital Health – advantage

Reach out through – yael@predicta-med.com

We are gathering an outstanding team of talented and agile people who will lead and grow the company, and looking for a passionate and experienced Full-Stack Software Engineer that strives to make a major change in the way health organizations analyze and extract insights from medical indicators. Someone who will join our journey to develop diagnostic tools based on the latest SW platforms and deep learning techniques.

The ultimate candidate is a super talented and passionate full-stack developer who brings solid experience on building production grade software products with an emphasis on high performance, scalability and availability. Utilizing modern development and testing frameworks and tools.

You should be a team player with excellent interpersonal skills; Independent and highly motivated; Fast and self learner; Eager to learn new technologies and be the best at everything you do.

Job requirements

• At least 3 years of Backend development experience
• Deep understanding of JavaScript and Typescript
• Experience with Web technologies, both Backend and Frontend, using NodeJS, React, Redux and other advanced JavaScript libraries
• Experience with Relational (PostgreSQL) and Non Relational (MongoDB) databases
• Experience developing REST APIs and understanding common networking protocols like HTTP, TCP and UDP
• Good understanding of micro-services architecture, design patterns and object oriented design
• Academic degree in computer science or equivalent practical experience
• Strong communication skills
• Solid experience in Python – Advantage
• DevOps knowledge and familiarity with Docker, AWS environment and CI/CD tools – Advantage
• Experience with testing frameworks such as Cypress / Puppeteer and Jest – Advantage
• Experience in building software healthcare products – Significant advantage

alon@predicta-med.com