Client‑Facing AI/ML Engineer: Translate Problems into Production AI

Sagacify; Sint-Pieters-Woluwe; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Sagacify and Craftzing seek an AI/ML Engineer who thrives in client workshops and code. You turn fuzzy business problems into AI solutions, from LLM-powered assistants to predictive models, and you explain why it works.

You’ll work at the intersection of clients, business, and engineering, report to the Head of ML at Sagacify, collaborate with the delivery and sales teams, and help create production-grade AI systems across industries.

Qualifications

• Master's degree in a relevant field.
• 2–5 years of AI/ML engineering experience.
• Proficient in Python and software development best practices.
• Hands-on with Python data stack: Pandas, NumPy, Scikit-learn and PyTorch (or TensorFlow).
• Solid understanding of LLM fundamentals: Transformers, generation parameters, RAG and fine‑tuning approaches.
• Hands-on experience with OpenAI API, Hugging Face, LangChain/LangGraph, FastAPI and Docker.
• Comfortable working with data in SQL databases.
• Natural consultant: strong listening, questioning, and translating business needs into AI solutions.

Responsabilités

• Understand clients' business needs and translate them into clear, feasible end-to-end AI solutions.
• Act as a trusted point of contact for clients throughout the project, from scoping to delivery.
• Run discovery sessions and technical workshops with business and technical stakeholders.
• Design and build AI solutions combining LLMs, vector databases, APIs, orchestration layers and user interfaces.
• Develop agents and RAG pipelines connecting client data to LLMs for grounded, reliable answers.
• Perform prompt and context engineering to improve output quality and reduce hallucinations.
• Build, train and evaluate classical ML models (classification, regression, forecasting, clustering).
• Handle the data side: gathering, cleaning, validating data quality and feature engineering.
• Evaluate solutions using ML metrics and production monitoring (quality, drift, costs).
• Deploy solutions to the cloud with attention to security, reliability and cost efficiency.
• Present and explain AI concepts, trade-offs and results to non-technical audiences.
• Support sales in qualifying opportunities, estimating effort and writing proposals.
• Contribute to demos, proofs of concept and internal knowledge sharing.

Connaissances

Python proficiency

ML fundamentals

LLMs & RAG pipelines

Client collaboration

Explaining complex topics

SQL databases

Formation

Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related field

Outils

OpenAI API

Hugging Face

LangChain

LangGraph

FastAPI

Docker

PyTorch

NumPy/Pandas

Scikit-learn

SQL

MLflow

DVC

Kubernetes

Description du poste

Sagacify and Craftzing seek an AI/ML Engineer who thrives in client workshops and code. You turn fuzzy business problems into AI solutions, from LLM-powered assistants to predictive models, and you explain why it works.

You’ll work at the intersection of clients, business, and engineering, report to the Head of ML at Sagacify, collaborate with the delivery and sales teams, and help create production-grade AI systems across industries.