Artificial Intelligence (AI) and data are at the core of our Group’s digital transformation. It will support us improving our product offerings, enhance customer service and underwriting capabilities. We are looking for an innovative, visionary, hands-on professional who possesses the passion and experience to take a key role within Zurich’s Group AI & Data Transformation team. Using and embedding deep learning, large language models (LLM), computer vision, machine learning and next generation agents to unlock the power of Generative AI, you will help to improve key business outcomes, through insights generation and human augmentation. You will join our multidisciplinary team that ideates, develops, implements, and deploys AI at the forefront. This is an excellent opportunity to take advantage of emerging AI trends to a real-world difference.
To do this we are looking for a hands-on, team-oriented personality with a passion for technology- and business-driven innovation and who wants to work with a team of talented AI experts, machine learning engineers, data engineers, backend developers, ML Ops professionals, architects, and AI Governance specialists.
Focus:
Developing and implementing machine learning models and algorithms to address specific business problems in insurance and integrating these solutions into products and services.
responsibilities :
Design and develop machine learning models to solve specific business problems in insurance
Collect, preprocess, and explore large datasets to extract meaningful insights
Train and fine-tune machine learning models to optimize performance
Develop and implement algorithms to solve complex problems
Collaborate with cross-functional teams to integrate machine learning solutions into products and services
Monitor and maintain machine learning systems to ensure optimal performance and scalability
Stay up-to-date with the latest research and technology advancements in the field of machine learning
requirements-expected :
3+ year of experience as ML engineer
Strong understanding of machine learning, large language models and MLOps
Strong programmer, with good understanding of building and deploying solutions
Expertise in programming languages such as Python
Expertise in MLOps, Cloud & Data Technologies – ideally Azure and AWS
Willingness to learn and adapt to emerging tools, techniques, and trends in large language models and Generative AI
Strong track record with ML engineering techniques in cloud environment (Azure, AWS)
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
offered :
Real life opportunities to develop and grow with us and contribute to the world around us
Competitive salaries, language allowance and an employee benefits package that includes among others medical insurance, life insurance and sport-card
Annual bonus depending on company annual results and individual performance
Wide range of learning programs and personal development opportunities including also possibility to apply for up to 80% of educational trainings reimbursement
Referral awards
Online fitness trainings
Possibility to work from home
Nice and friendly atmosphere
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
