Core ML Engineer

A Machine Learning Engineer is a cloud and software engineer with some basic knowledge in data modelling. A ML Engineer is an advanced developer in a least one of the following languages: Java, Python, C, C++.

ML Engineers are accountable for:
•    The industrialization of models
•    Performant and scalable architecture
•    Optimization of model fine tuning
•    Deployments on self-managed infrastructure (e.g., self-managed cloud env)
•    Facilitation of Deployments on SCOR IT infrastructure 
•    The creation and maintenance of the ML Ops framework
•    Quality: reproducibility, experiment tracking, …
•    Availability: model storage, …
o    Best-practices: CML and deployment
o    Monitoring: drift, logs, performance
•    Coordination with different infrastructure owners or Solutions Owner to ensure application deployment (following DAS/IT framework).

Compliance
•    Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives
•    Be fully compliant with GDPR and other local data protection legislation 
•    Be aware of regulatory and reputational risk when developing consumer-facing AI tools and suggest ways of mitigating these
 

• Master’s degree (Ph. D. is a plus) in Software engineering, Technology, Engineering, , Computer Science or similar quantitative field
• Bachelor’s degree or similar work experience is accepted in place of a relevant Master’s degree.
• Certifications in open-source components are a plus (CKAD, Docker etc.)
• ~1-3 years’ experience in software programming capabilities and knowledge running models into production (containers, API)
• Be an efficient software engineer with a good command of at least one of the following languages: Python, Java, Golang or C++
• Be able to industrialize machine learning or deep learning models in the cloud
• Respect the SCOR DAS IT framework (development framework): unit test, linting, typing, …
• Read technical documentation/blogs on latest features of a programming language and cloud features
• Knowledge and familiarity with code versioning tools
• Basic knowledge of containerization technologies
• SQL basic knowledge
• Intermediate level and understanding in Operating Systems
• Usage of shell
• Seek for answers by themselves by knowing the key concepts to look at (debugging code, google right terms, looking for proper help)
• Fluent with git (gitflow) and capable to implement CI/CD

Communication skills

• Shares and communicates about his/her work to the rest of the technical team with accurate terms 
• Documents his/her work (be able to write a technical report with explicit relevant and self-explicit charts, follow templates, etc.)
• High level controls on his/her work
• Proactively supports other team members with technical help and adopts a team mindset
• Is realistic with timeframes and updates relevant stakeholders on progress
• Can rigorously document a project in plain English

Business acumen

• Proactively identifies and raises technical concerns/doubts on data projects 
• Understands instructions and contributes to the vision by questioning or enriching the tasks defined during a project

Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Pay Range for roles performed in NC: $109,500-$134,000 base salary per year. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Other rewards may include annual bonuses, short- and long-term incentives. In addition, we provide a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement saving plan, paid holidays and paid time off.

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.