Vacant job

As a Data Scientist in the AI team, you are responsible for designing, deploying, and optimizing AI models and data pipelines. This includes expertise in data manipulation, AI model fine-tuning, and constructing recommendation systems tailored to user needs. You will collaborate closely with cross-functional teams to implement Retrieval-Augmented Generation (RAG) solutions, build personalized recommendation systems, and integrate cutting-edge AI and NLP techniques into production. Your responsibilities include:

• Model Development and Optimization: Develop, fine-tune, and deploy machine learning and NLP models, including custom and pre-trained solutions, using Python and Azure services.
• Data Pipeline Management: Build and manage data pipelines, incorporating RAG solutions, data cleaning, tokenization, and transformation processes.
• Recommendation Systems and Prompt Engineering: Design recommendation systems and craft effective prompts for models like ChatGPT to ensure accurate, contextually relevant outputs.
• Performance Evaluation and Innovation: Develop evaluation frameworks, assess AI model performance, and stay updated on AI advancements to enhance efficiency and effectiveness.
• Technical Leadership: Make architectural and technical decisions on model selection, data pipelines, and deployment strategies based on project needs.

We are seeking a curious, collaborative, and growth-oriented professional with experience in agile environments and a strong passion for advancing within the AI field. If you thrive on solving complex challenges and enjoy working at the intersection of technology and innovation, this role offers an exciting opportunity to make a meaningful impact.

To succeed in this position, you should meet the following requirements:

• B.Sc. or M.Sc. in Data Science, Computer Science, AI, or a related field, with 3–5 years of experience in data science, data engineering, or AI-related roles.
• Proficiency in Python and machine learning libraries.
• Experience in designing, fine-tuning, and deploying AI solutions
• Familiarity with Microsoft Azure, including Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning.
• Experience with Retrieval-Augmented Generation (RAG) solutions and prompt engineering.
• Experience in data cleaning, tokenization, indexing and building scalable data pipelines.
• Proficiency in AI model evaluation methods and prompt engineering for improved model accuracy.
• Experience with the full ML development lifecycle using open-source AI/ML frameworks and public cloud services.

What we Offer

We strongly believe in working with individuals who love what they do. When you get the opportunity to do what you do best, the result will be exceptional.

We offer you a global development role in an innovative and fast-growing company at the forefront of technology, and we provide you with the opportunity to deliver real value to the customers. We offer competitive benefits, compensation based on competence/performance and highly talented Novacurians as great colleagues. Novacura offers a strong and open corporate culture where each and every employee has the opportunity to influence the development of the company and our processes.

Ready to Join Us?

If this sounds like the perfect fit for you, we encourage you to apply today. We review applications on a rolling basis, so don’t miss your chance to be part of something great.

For questions regarding the recruitment process, please contact Ellen Jingrot, Talent Acquisition, at [email protected]. For inquiries about the role, reach out to Andreas Foung, Development Manager, at [email protected].

About Novacura

At Novacura we are passionate about solutions that enable our customers to work smarter and faster in their businesses. We work with several business systems and our own unique low code platform Novacura Flow. We are a global organization with close cooperation between our offices in different countries and we have high ambitions to continue to develop and grow in all our markets.