Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

About the Role

We are seeking a highly motivated, experienced Machine Learning Engineer / Applied Data Scientist to join a global team of advanced analytics professionals who support the digital transformation of Swiss Re and the insurance industry. You will be primarily based in Armonk, NY and collaborate closely with stakeholders around the globe.

Your main responsibilities are:

• Collaborate with a cross-functional team of data scientists, software engineers, product owners and stakeholders to deliver ML/AI products.
• Build prototypes, run experiments, train new models, and productionize data science products that solve real-world business problems.
• Support full deployment of machine learning models through all phases of development, from design, build, automate, test, deploy, and maintain machine learning products in production.
• Write, edit, review, and maintain production quality machine learning code in git environments.
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.
• Model monitoring to ensure stable performance and adherence to standards.

About the Team

The Advanced Analytics Center of Expertise (AA CoE) team supports Swiss Re's business functions and clients in developing state of the art technology solutions leveraging our advanced analytics and data engineering capabilities. AA CoE works with all business units to implement Swiss Re's tech strategy by generating unique insights, improving operational efficiency, and developing innovative technology driven value propositions. Our integrated global team of analytics consultants, analytics specialists and data engineers enables us to facilitate end-to-end solutions delivery from ideation and prototyping to deployment and run. As Swiss Re's center of expertise for advanced analytics, the team further enables the proliferation of advanced data handling capabilities throughout the company.

About You

Technical Requirements:

• Bachelor's degree with quantitative background (computer science, data science, statistics, engineering, econometrics, or another related field) or relevant professional experience. Master's degree or PhD preferred.
• 2-6 years of experience building advanced analytics solutions in areas such as Machine learning, Natural Language Processing, Computer Vision, or Information Retrieval.
• Fluent in Python, proficiency in additional languages such as R, Julia, SQL, Java, etc. is a plus.
• Experience in various aspects of data preparation, feature engineering, model training, deploying, monitoring end-to-end machine learning products using MLOps best practices and knowledge of evaluation metrics.
• Knowledge and experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud.
• Experience with one or more applied ML technologies such Azure ML/ Amazon Sagemaker, Databricks, MLFlow, or Kubeflow.
• Knowledge of other programming languages like PySpark, experience with large data sets and distributed computing is desirable.
• Understanding of data structures, data modeling, DevOps and software architecture is a plus.
• Excellent English language skill is required.
• Flexibility to travel

Soft Skills:

• Team player with strong interpersonal skills and experience of working in cross-functional teams
• Ability to communicate complex problems with clarity and effectiveness to expert and non-expert audience
• Ability to initiate and drive projects to completion with minimal guidance
• Track-record of creative problem solving as well as openness and curiosity to learn

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.