Analytics Engineer III

Key Responsibilities:

• Model Development and Maintenance: Design, develop, test, deploy, and retrain machine learning models and algorithms in collaboration with data scientists and 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 for model deployment, monitoring, and maintenance. - Platform Management: Maintain and enhance 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 all systems and solutions are secure and cost-effective. Qualification Required:

• Educational Background: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or 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, especially 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 Re's 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. Key Responsibilities: