Senior ML/AI Engineer
hace 2 semanas
Your Mission
As a Senior ML/AI Engineer, you will lead the design, deployment, and scaling of ML/AI models in production. You'll work cross-functionally with both technical and business teams to craft tailored, high-impact AI solutions that drive real-world value.
This is a high-ownership role where you'll act as both a technical expert and a strategic thinker — ensuring delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs
**.
On the Business S**
- idePartner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportuniti
- es.Assess feasibility by analyzing available data sources and proposing realistic and impactful solutio
- ns.Define project goals, success criteria, and measurable KPIs in alignment with business nee
**ds.
On the Technical**
- SideLead the design and development of machine learning models using PyTorch, TensorFlow, or similar framewo
- rks.Implement best-in-class MLOps practices to automate the training, deployment, and monitoring of models (e.g., with Kubefl
- ow).Build and optimize scalable pipelines for data ingestion, model training, evaluation, and infere
- nce.Ensure full automation from preprocessing to production, with robust testing and CI/CD integrat
- ion.Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainabil
**ity.
Your pr**
- ofile5+ years of hands-on experience in ML/AI engineering or data science
- roles3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and Big
- QueryProven experience delivering production-grade models and scalable ML sy
- stemsStrong knowledge of ML algorithms, model development, deployment, and lifecycle manag
- ementProficiency in Python and ML frameworks such as TensorFlow or Py
- TorchExpertise in MLOps tooling and automation, ideally with tools like Kubeflow, MLflow, or Vertex AI Pipe
- linesExperience applying LLMs, especially in Retrieval Augmented Generation (RAG) work
- flowsFamiliarity with data preprocessing, model tuning, and performance optimiz
- ationClear communicator with the ability to translate complex ideas to technical and non-technical audi
- encesFluent in English (French or Spanish is a
- plus)Eligible to work in E
**urope
Bonus**
- SkillsExperience with LangChain, LangGraph,
- or dbtPrior involvement in consulting or client-facing data/AI pr
- ojectsContribution to open-source, or published content in AI/ML commu
**nities
Hiring**
- ProcessCultural fit interview (30 m
- inutes)Technical interview (45 m
- inutes)Behavioural interview (45 m
**inutes)
Abo**
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