Your profile
- 5+ years of hands-on experience in ML/AI engineering or data science roles - 3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery - Proven experience delivering production-grade models and scalable ML systems - Strong knowledge of ML algorithms, model development, deployment, and lifecycle management - Proficiency in Python and ML frameworks such as TensorFlow or PyTorch - Expertise in MLOps tooling and automation, ideally with tools like Kubeflow, MLflow, or Vertex AI Pipelines - Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows - Familiarity with data preprocessing, model tuning, and performance optimization - Clear communicator with the ability to translate complex ideas to technical and non-technical audiences - Fluent in English (French or Spanish is a plus) - Eligible to work in Europe
Bonus Skills
* - Experience with LangChain, LangGraph, or dbt
* - Prior involvement in consulting or client-facing data/AI projects
* - Contribution to open-source, or published content in AI/ML communities
Why us?
At Astrafy, our values shape everything we do:
* Generosity – we give back through open-source projects and community initiatives.
* Transparency – every voice matters, and we commit together once decisions are made.
* Growth – we put learning above ego, creating space to experiment and improve.
* Ownership – we work with purpose, take responsibility, and celebrate real impact.
* Trust – we care for each other as people, not just colleagues.
* Ever-learning – we dedicate time to training, innovation, and sharing knowledge.
Join us to grow, contribute, and make a difference — inside and outside the company.
Your mission
Your Mission
As a Senior ML/AI Engineer at Astrafy, 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 Side
* Partner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportunities.
* Assess feasibility by analyzing available data sources and proposing realistic and impactful solutions.
* Define project goals, success criteria, and measurable KPIs in alignment with business needs.
On the Technical Side
* Lead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.
* Implement best-in-class MLOps practices to automate the training, deployment, and monitoring of models (e.G., with Kubeflow).
* Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.
* Ensure full automation from preprocessing to production, with robust testing and CI/CD integration.
* Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.
#J-18808-Ljbffr