Data & AI · Opportunity

ML Ops & Data Engineer

LOCATIONMonaco

CONTRACTOpportunity

START DATE1 January 2027

REMOTE WORKRemote working permitted for up to 2 days per week

THE OPPORTUNITY

The context.
The role.

MV Digital is looking for an ML Ops & Data Engineer to contribute to the industrialisation of Machine Learning and Data Science projects. You will work across the entire data value chain, from preparation through to utilisation, in a range of technical environments.

Context

As part of a strategic digital transformation programme led by a major organisation, you will join a team committed to structuring, industrialising and unlocking the value of data.

Your role

You will work across the Data Engineering, ML Ops and Data Science areas of the programme. Working with Data Scientists, you will contribute to designing reliable pipelines, automating workflows and developing statistical and Machine Learning models.

Responsibilities

Explore, clean, qualify and structure data.
Design and automate data flows using Airflow pipelines.
Orchestrate workflows and monitor data quality.
Work with Data Scientists to develop statistical models and Machine Learning algorithms.
Evaluate developed models and contribute to their improvement.
Manage the data lifecycle across different clusters and environments.
Contribute to the industrialisation of Machine Learning and Data Science projects.

Your profile

EDUCATION

A qualification representing a minimum of five years of higher education in computer science, data, mathematics, information systems or software engineering.

EXPERIENCE

No minimum experience is required; the role is open to candidates with a relevant educational background.

SKILLS

Data preparation and structuringData pipelines with AirflowWorkflow orchestrationData quality monitoringMathematical or physical modellingStatistical methodsSupervised and unsupervised Machine LearningTime seriesModel evaluationParametric modelling and simulationsPython, NumPy, pandas, scikit-learn and XGBoostAirflow, Spark, Polars, DuckDB and TrinoSQLData visualisation and exploratory analysisIndustrialisation of Machine Learning and Data Science projectsManagement of the data lifecycle across clusters and environmentsFrench

QUALITIES

Rigour in data preparation and quality control
Ability to collaborate with Data Science professionals
Interest in cross-functional technical topics and industrialisation

APPLY

Simple.
Direct.

Your application and CV go directly to the MV Digital team in Recruit, linked to this opportunity.