ML Engineer
Paris, 75, FR
ABOUT CFM
Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
ML Platform team
The ML Platform team is focused on enhancing researcher productivity in training machine learning (ML) models by developing libraries, services, and best practices, and ensuring robust ML production at scale.
The aim is to provide a seamless path from experimentation to production that integrates with existing systems and boosts efficiency for model deployment.
The team mandate consists of addressing pain points, advancing organizational ML capabilities, and leveraging platform engineering with a modular, self-service approach.
It balances immediate user needs with sustainable technical decisions, emphasizing best practices and automation.
The team is composed of profiles working on cross-functional projects as well as engineers supporting functional teams in their ML journey.
Your role
This job is for a distributed ML engineer within the ML Platform team. You will serve as the primary contact for a functional team utilizing ML at CFM, dedicating 70-80% of your time to their ML-related activities, while the rest involves collaboration with cross-functional ML platform engineers. Your core duties include promoting the use of ML Platform tools and services, and identifying areas for improvement within our tool suite. You'll work closely with users to integrate enhancements.
Key Responsibilities:
· Promote adoption of ML Platform tools and services.
· Guide the tools’ evolution to meet user needs.
· Establish standard practices for ML development, ensuring reproducibility, quality, and auditability.
· Create self-service tools to boost ML development efficiency at CFM.
· Mentor junior team members as the team expands.
· Train users and advocate for industry best practices in ML related software development across the company.
Your skills
We are looking for candidates with 5-7 years of experience in ML at large, and 3+ years working with production grade ML.
Mandatory
Technical
· Extensive expertise in Python and general software development best practices.
· Experience working in environments that deploy ML solutions to production and address MLOps challenges.
· Proficient in using containerization technologies.
· In-depth experience with traditional ML and deep learning tools such as TensorFlow or PyTorch, MLFlow or similar platforms, and inference servers like Triton.
· Experience applying ML techniques to time series data.
· Strong familiarity with UNIX-based systems.
· Experience with AWS services.
Work methodology
· Experience with Agile, emphasizing flexibility and pragmatism over strict adherence.
Soft skills
· Ability to simplify and clearly communicate technical concepts.
· Maintain a user-focused approach, avoiding short-term fixes.
· Skill in inspiring and encouraging colleagues to adopt best practices.
· Prioritize overall team productivity and resilience through skill-sharing, rather than just individual efficiency.
Nice to have
Technical
· Previous experience as a Data scientist
· Design thinking and software architecture
Previous experiences
· Having worked within the e-commerce industry, or any industry facing large amounts of temporal data and models to be built on top of this kind of data
· Having worked on NLP related projects, preferably using LLMs
If you don’t meet every requirement but believe you’d be a great fit, feel free to reach out to us.
EQUAL OPPORTUNITIES STATEMENT
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
FOLLOW US
Follow us on Twitter or LinkedIn or visit our website to find out more about CFM.