Machine Learning Engineer

Capitole
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Artificial Intelligence
Big Data
Computer Programming
Python
Machine Learning
TensorFlow
Data Processing
Feature Engineering
PyTorch
Large Language Models
Generative AI
Pandas
Scikit Learn
Machine Learning Operations
Databricks

Job description

At Capitole Consulting , we continue expanding our Data & AI practice and are looking for passionate professionals who want to work on real-world AI projects with impact.

We are seeking a Machine Learning Engineer (MLE) with 3-5 years of experience to support the development and productionization of advanced AI models - from research to scalable, production-ready solutions.

What you'll do

?Design, develop, and train AI and machine learning models (NLP, GenAI, predictive analytics).

?Write clean, maintainable, and well-structured Python code.

?Collaborate closely with MLEs to deploy and scale models in production environments.

?Work with large datasets using Databricks , Pandas , and modern ML frameworks.

?Contribute to the continuous improvement of our AI development lifecycle and MLOps practices.

Requirements

? 3-5 years of experience in Data Science or Machine Learning Engineering .

? Strong programming skills in Python .

? Hands-on experience with Databricks and ML libraries such as scikit-learn , PyTorch , or TensorFlow .

? Solid understanding of data processing, feature engineering, and model evaluation.

? Knowledge or interest in NLP and Generative AI / LLMs .

? Excellent communication skills and a high level of English (team communication in English).

? A collaborative mindset and curiosity for innovation.

Why join this project?

? People first - diverse and inclusive culture in an international environment.

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