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Azure / AWS Data Scientist | Senior (Remote)
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Job Summary: The candidate will develop and deploy Machine Learning and Deep Learning models, design and maintain data pipelines, and apply NLP and MLOps techniques in cloud environments, contributing to data architecture. Key Highlights: 1. Develop, train, and deploy Machine Learning and Deep Learning models 2. Model and manipulate data using Python and SQL 3. Implement solutions in cloud environments (AWS / Azure) . **Responsibilities and Duties** * Develop, train, validate, and deploy Machine Learning and Deep Learning models; * Design and maintain ETL/ELT pipelines integrating multiple data sources (relational databases, APIs, files, legacy systems, etc.); * Model, extract, and manipulate data using Python and SQL; * Work with Oracle databases, ensuring performance and data integrity; * Implement solutions in cloud environments (AWS / Azure); * Apply Natural Language Processing (NLP) techniques such as tokenization, POS tagging, syntactic parsing, and entity extraction; * Contribute to MLOps practices (versioning, automated deployment, model monitoring, CI/CD for ML); * Validate RAG system performance; * Support data architecture definition and engineering best practices. **Requirements and Qualifications** * Strong proficiency in Python and SQL; * Experience with ML/DL libraries and frameworks: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras; * Practical experience with Large Language Models (LLMs), Generative AI solutions, and RAG architectures; * Practical experience with ETL pipelines and integration of multiple data sources; * Experience with Oracle Database; * Knowledge of Natural Language Processing (NLP); * Experience with Cloud platforms (Azure and/or AWS); * Experience with MLOps. Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. **Join us and be part of the AI-driven revolution.**

Source:  indeed View original post
João Silva
Indeed · HR

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