01Key Responsibilities
Model Development and Maintenance:Design, develop, test deploy, retrain machine learning models and algorithms to solve complex business problems in collaboration with data scientists and other engineers.Data Processing:Implement big data processing workflows and pipelines to handle large-scale datasets efficiently.MLOps & LLMOps:Promote and implement MLOps and LLMOps best practices to streamline model deployment, monitoring, and maintenance.Platform Management: Maintain and enhance our data science and machine learning platforms to ensure high performance and reliability.Collaboration:Work closely with business stakeholders to understand their needs, provide insights, and deliver tailored ML solutions.Security & Cost Management:Ensure that all systems and solutions are secure and cost-effective.About YouEssentials: The following list represents our ideal candidates profile. We know it is unlikely you meet 100% of our criteria. The more boxes you can check the better, however ultimately willingness to keep learning is key.Educational Background: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field preferred.Experience:5 years of proven experience in machine learning model development, deployment, and maintenance. Some experience with large language models is a plus.Technical Skills:Proficiency in Python, R, or similar programming languages. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.Big Data Technologies:Familiarity with big data processing tools esp. Spark, or similar.MLOps & LLMOps: Knowledge of MLOps and LLMOps practices and tools such as Docker, Kubernetes, MLflow, etc.Palantir Foundry: Willingness to accustom yourself with Swiss Res strategic data management platform Palantir Foundry. Prior experience with the platform is a plus.Analytical Skills:Strong analytical and problem-solving skills with the ability to work with complex datasets.Communication:Excellent communication skills to interact effectively with both technical and non-technical stakeholders.Ideally you have some prior experience with the (re ) insurance or financial services industryBehavioural CompetencesWe are working as one team operating from three different countries: India, Slovakia and Switzerland. Our companys internal customer base is spread across all continents. Given, that you will interact with users every day, a strong customer-orientation, joy in communicating with users as well as a commitment to quality and timeliness are important!Furthermore, the entire field of technologies we are working with such as cloud technologies, Generative AI or Natural Language Processing is evolving rapidly. You should have the curiosity to explore modern technologies, and the persistence to make them accessible to a larger community even while they are still evolving. Last, but not least, enjoying our work is just as important as achieving results.Keywords:Reference Code:133876 .
