Machine Learning Engineer (Python / NLP / RAG)

Who we are

FabSkill is a talent‑matching platform that connects Tunisian and international recruiters with job seekers through AI‑powered video interviews and data‑driven screening.

Position Overview

We’re looking for a hands‑on Machine Learning Engineer who can take models from notebook to production—building APIs, pipelines, and tooling that power our core matching engine and interview experience.

Type of Contract: Contract job

Availability: Office Full-Time

Key Responsibilities

• Model Development – Design, train, and fine‑tune ML & NLP models (LLMs, RAG, classic algorithms) using Python.
• API Engineering – Build and maintain production‑grade REST / gRPC APIs (e.g. FastAPI, Flask) that serve model predictions.
• Data & ML Pipelines – Orchestrate batch and real‑time workflows with Apache Airflow; monitor data quality and model performance.
• Cloud Deployment – Containerize solutions with Docker and deploy on AWS, Google Cloud, or Azure.
• CI/CD & DevOps – Automate testing, integration, and delivery pipelines (GitHub Actions / GitLab CI) following MLOps best practices.
• Cross‑Functional Collaboration– Work closely with product, backend, and frontend teams to integrate ML features end‑to‑end.

Required Qualifications

•  1–2 + years’ experience as an ML / Data / Software Engineer working on production systems.
•  Strong Python fundamentals; proven track record building and scaling APIs.
•  Practical knowledge of machine‑learning algorithms and NLP techniques (LLMs, embeddings, vector search, RAG, text‑classification, etc.).
• Experience with Docker, Airflow, and at least one major cloud platform (AWS, GCP, or Azure).
• Familiarity with CI/CD, code reviews, testing, and version control (Git).
• Experience with vector databases (Milvus, Weaviate, Pinecone, etc.).
• Solid problem‑solving skills, attention to detail, and a collaborative mindset.

Academic level

• Engineering degree in Computer Science, Mathematics, or a related field.

Informations

Requirements

Skills:

APPRENTISSAGE DE MACHINE PYTHON RAG LLM DOCKER FastAPI

FLASK Apache Airflow