Senior AI Engineer — End-to-End ML & Generative AI

Match Profiler

Lisboa

Sur place

EUR 55 000 - 75 000

Plein temps

Il y a 46 heures
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Avantages offerts par ce poste

Careful onboarding
Continuous feedback
Collaborative team
Close-knit environment
Exclusive discounts on health, travel,

Résumé du poste

Match Profiler is seeking a senior Data Scientist to join our client team. You will lead end-to-end data science and ML initiatives, from data understanding and feature engineering to model evaluation and deployment, leveraging Python and industry standard ML frameworks.

We value strong cloud experience (AWS), MLOps familiarity, and proficiency with Git, CI/CD, and test-driven development, along with excellent English skills and a collaborative mindset.

Qualifications

  • At least 5 years of direct professional experience in Data Science / ML projects.
  • End-to-end data science initiatives: data understanding, preparation, modelling, evaluation and deployment.
  • Solid command of data science concepts around EDA, modelling and evaluation.
  • Proficiency with Python and ML frameworks like scikit, pytorch, keras, opencv, pandas.
  • Data preparation/transformation experience (SQL, pandas).
  • Cloud infrastructure experience is mandatory; AWS preferred.
  • Experience with LLM, RAG, prompt engineering and Generative AI (OpenAI, Bedrock).
  • MLOps experience (MLflow, Databricks) valued.
  • Software engineering practices/tools (Git, CI/CD, unit testing) valued.
  • Very good English skills

Connaissances

Data Science
Machine Learning
Python
Pandas
Scikit-learn
PyTorch
Keras
OpenAI
AWS
LLM / Generative AI
MLOps
Git
CI/CD
Unit testing
English

Outils

MLflow
Databricks
OpenAI API

Description du poste

Match Profiler is seeking a senior Data Scientist to join our client team. You will lead end-to-end data science and ML initiatives, from data understanding and feature engineering to model evaluation and deployment, leveraging Python and industry standard ML frameworks.

We value strong cloud experience (AWS), MLOps familiarity, and proficiency with Git, CI/CD, and test-driven development, along with excellent English skills and a collaborative mindset.

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