Core Machine Learning Engineer

SCOR; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A leading financial services firm in Paris seeks a Machine Learning Engineer responsible for deploying advanced model architectures and ensuring compliance with data protection regulations. Candidates should have experience in software programming and proficiency in languages such as Python or Java. A Master’s degree in a relevant field is preferred. This role offers opportunities for growth in a dynamic team environment.

Qualifications

• 1-3 years experience in software programming and model deployment.
• Proficiency in Python, Java, Golang, or C++.
• Ability to industrialize ML models in the cloud.

Responsabilités

• Accountable for model industrialization and optimization.
• Facilitate deployments on SCOR infrastructure.
• Ensure compliance with GDPR and data protection laws.

Connaissances

Python

Java

C++

Golang

SQL

Git

Cloud technologies

CI/CD

Formation

Master’s degree in Software Engineering or related field

Bachelor’s degree or equivalent work experience

Outils

Docker

Containerization technologies

Description du poste

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++.

Key duties and responsibilities

• 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, …

Best-practices : CML and deployment

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

Required experience & competencies

• ~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

Required Education

• 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.)