What are the responsibilities and job description for the Sr ML/AI Engineer position at Munich Re?
We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that.
The Company
As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products.
Job Overview :
We are seeking a highly skilled Senior Machine Learning Engineer to join our AI / ML Engineering GSI IT Team. In this role, you will tackle complex NLP, AI and machine learning challenges, driving forward our ML engineering capabilities. You will be responsible for deploying, implementing, and maintaining advanced machine learning models that enhance our technological solutions and improve decision-making processes.
Key Responsibilities :
- Develop and implement Machine Learning models, focusing on training & deployment process optimization, including parallelization.
- Design and build cloud-based data pipelines, integrating ML models into existing software solutions. Write and maintain robust, scalable production-quality code for deployment of ML models and services.
- Create and deploy inference endpoints (APIs) and optimize compute architectures and data structures.
- Implement logging and metric generation for models, ensuring comprehensive monitoring and addressing model degradation.
- Lead the deployment of machine learning models in Azure cloud environments, managing the full lifecycle from development to production.
- Build CI / CD pipelines for machine learning models using Azure tools to streamline deployment and updates.
- AI Governance : Ensure compliance with AI governance policies and ethical guidelines, including data privacy, fairness, and transparency in AI systems
- Work closely with data scientists, engineers, and product managers to review code and integrate ML models into products and services.
- Collaborate with cross-functional teams to continuously improve and advance technologies and methods for ML systems.
- Keep up with the latest advancements in machine learning and related technologies to continuously improve model performance.
Qualifications :
Preferred Qualifications :
Benefits :
At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
