Contribute to ML, optimization and generative AI building blocks
Maintain and retrain existing models, monitoring drift, performance, latency and cost
Help design and run benchmarks to evaluate AI systems
Contribute to responsible AI documentation and traceability
Evangelize data science and AI concepts to deployment managers
From the employer’s posting
You will contribute to the development of the program's algorithmic building blocks
You will be responsible for the maintenance and re-training of existing models, including monitoring of data drift, performance, latency and cost in production
You will help design and run the evaluation of AI systems: building benchmarks, measuring quality and robustness
You will contribute to the responsible AI frame of the program: traceability of data and prompts, model and system documentation
You will evangelize data science and AI concepts to deployment managers
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Azure
Databricks
Snowflake
Hugging Face
PyTorch
TensorFlow
Where the posting names them
If you recognize yourself in the description below, don’t wait to apply!
- You master the Python language and object-oriented programming, a theoretical grounding in the field of Data Science and Machine Learning, as well as knowledge of data management concepts (ETL, API, data storage solutions, SQL, etc.). Knowledge of versioning tools (GitHub) is a plus. Exposure to Deep Learning frameworks (PyTorch, TensorFlow) or to LLM tooling (Hugging Face, LangChain, OpenAI or Azure OpenAI SDK) is a strong plus.
- You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well.
- You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well.
- An interest in cloud data platforms (Azure, Databricks, Snowflake or equivalent) and in putting models into production is appreciated.
- You are rigorous, autonomous, with good analytical and synthesis skills.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Want to join the world's No. 2 in wines & spirits and work among convivial teams? Pernod Ricard is looking for Data & AI Intern for 6 months from March to August 2027. You will be based at the Island, our office in central Paris (Saint Lazare Train Station, Paris 8).
You will participate in the technical implementation of one of the key data science programs in the Group's transformation plan, in the development of the project's code base, and in the maintenance of existing Machine Learning and optimization models in the “Data & AI” team. The team also builds the Generative AI and agentic components of our digital products, and the engineering practices that keep them reliable in production.
Your key missions:
You will contribute to the development of the program's algorithmic building blocks, from classical Machine Learning and optimization models to Generative AI components (LLM based pipelines, retrieval augmented generation, agentic workflows).
You will be responsible for the maintenance and re-training of existing models, including monitoring of data drift, performance, latency and cost in production (MLOps and LLMOps practices).
You will evangelize data science and AI concepts to deployment managers.
You will help design and run the evaluation of AI systems: building benchmarks, measuring quality and robustness, and documenting failure modes before deployment.
You will contribute to the responsible AI frame of the program: traceability of data and prompts, model and system documentation, and alignment with the Group's AI policy and applicable AI regulation.
If you recognize yourself in the description below, don’t wait to apply!
You master the Python language and object-oriented programming, a theoretical grounding in the field of Data Science and Machine Learning, as well as knowledge of data management concepts (ETL, API, data storage solutions, SQL, etc.). Knowledge of versioning tools (GitHub) is a plus. Exposure to Deep Learning frameworks (PyTorch, TensorFlow) or to LLM tooling (Hugging Face, LangChain, OpenAI or Azure OpenAI SDK) is a strong plus.
You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well.
An interest in cloud data platforms (Azure, Databricks, Snowflake or equivalent) and in putting models into production is appreciated.
You are rigorous, autonomous, with good analytical and synthesis skills.
You are ready to evolve in an international environment and are recognized for your ability to work in a team and your sense of service.
You speak English fluently, French is a plus.
Please note: to apply, you must be able to complete 6 months of internship and have an agreement issued by your school/university.
And you'll benefit from these advantages:
Gross salary from 1410€ (Bac +4 and gap year) to 1550€ (Bac +5) per month
Company restaurant
Unlimited access to the Coursera training platform to enhance your experience.
Access to the Group's Generative AI tooling and to an internal AI learning path.
All in a friendly, supportive environment that will help you to progress and build a solid professional network: 90.4% of our interns and alternates recommend us as an employer (Happy Trainees 2024)!
Pernod Ricard is committed to diversity and inclusion: we are a disability-friendly company, one of France's Top 10 companies for gender equality, and we work with associations to promote social inclusion. Our recruitment methods focus on competencies to ensure equal opportunities.