Senior ML / AI Engineer

Overview

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.

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