Machine Learning Engineer

SICPA; Rio de Janeiro; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading technology company in Rio de Janeiro is looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced machine learning models. The ideal candidate will have a Master's degree and over 5 years of experience in machine learning and AI, with proficiency in Python, containerization tools like Docker, and cloud platforms such as AWS. Strong communication skills and the ability to manage multiple projects are essential for this role.

Qualificações

• 5+ years of hands-on experience developing and deploying machine learning models.
• Proficiency in relevant machine learning frameworks and Python.
• Solid understanding of software engineering best practices.

Responsabilidades

• Design, develop, and deploy machine learning and AI models.
• Ensure models are scalable, reliable, and integrated into applications.
• Bridge data science research and production engineering.

Conhecimentos

Machine learning frameworks (TensorFlow, PyTorch)

Python

SQL

Statistics

Algorithms

Communication skills

Formação académica

Master’s degree in Computer Science, Data Science, Econometrics, or related field

Ferramentas

Docker

AWS

Azure

Descrição da oferta de emprego

Machine Learning Engineer (senior) Role Overview

We are seeking an experienced Machine Learning Engineer to design, develop, and deploy advanced machine learning and AI models to power SICPA products and solutions. This role bridges data science research and production engineering, ensuring models are scalable, reliable, and integrated into real-world applications.

Required qualifications

• Master’s degree in Computer Science, Data Science, Econometrics, or related field with 5+ years of hands‑on experience developing and deploying in production machine learning, deep learning and AI models. PhD is a plus.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, scikit‑learn, and statsmodels. Good knowledge of SQL to retrieve and manipulate data effectively.
• Solid knowledge of software engineering best practices and containerisation tools (Docker).
• Solid understanding of statistics, algorithms, and data structures.
• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.

Preferred Skills

• Familiarity with cloud platforms (AWS, Azure) and MLOps.
• Good knowledge and experience in computer vision, natural language processing (NLP), and/or AI models (LLMs & multimodal).
• Strong problem-solving skills and a detail‑oriented mindset.
• Ability to manage multiple projects simultaneously.