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ML Ops & Data Engineer (M/F) – Permanent contract – Monaco

Posted on 11 Nov 2026
Position Permanent
Remote Hybrid

As part of a large-scale digital transformation programme, our client is seeking a Machine Learning (ML Ops) & Data Engineer to industrialise data science use cases and work across the entire data value chain.

You will act as the link between the wider Data team (Data Engineers, Data Scientists, AI Engineers) and the Operations/DevOps team. As part of a close-knit and agile team, you will standardise machine learning projects (ML Ops) and contribute to the design and maintenance of data pipelines (Data Engineering).

Contract type: Full-time contract for services (5 days a week)
Duration: Permanent contract
Location: On-site at the client’s premises, with the option of partial remote working (maximum 2 days a week)

Missions

  • Preparing and structuring data: exploration, cleaning, validation, structuring;
  • Automate data workflows (Airflow data pipelines);
  • Orchestrate workflows and monitor data quality;
  • Contribute to the design and development of statistical models and machine learning algorithms, in collaboration with data scientists;
  • Manage the full data lifecycle across different clusters and environments.

Profile

  • A postgraduate qualification (Master’s or PhD) in computer science, data science, mathematics, information systems or software engineering;
  • 0 to 3 years’ experience since completing your most recent degree;
  • Skills in data modelling and analysis: statistical methods, supervised and unsupervised machine learning, time series, model evaluation and simulations;
  • Solid command of Python and its libraries: numpy, pandas, scikit-learn, xgboost, PyTorch or TensorFlow;
  • Ability to work independently with distributed processing and data collection tools: Airflow, Spark, Polars, DuckDB, Trino and SQL querying;
  • Ability to design relevant visualisations and exploratory analyses;
  • Fluency in French (reading, writing and speaking) is essential.
Degree 5 years of higher education

Know be

  • Scientific rigour and precision in the analysis of results; 
  • A critical mind and an interest in technology; 
  • Independence, a systematic approach and the ability to take the initiative; 
  • Good oral and written communication skills, with a genuine ability to explain technical results clearly; 
  • A team player with the ability to adapt.

More informations

We are committed to diversity, gender equality and the employment of workers with disabilities.

Only European nationals or holders of a residence permit issued by the Alpes-Maritimes Prefecture (06) are eligible for employment in the Principality.

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