Machine Learning Engineer Specialist– Recommendation Systems

Mutt Data SRL

Job Overview

Location

Argentina

Job Type

Full-time

Full Job Description

📋 Description

• Machine Learning Engineer Specialist focused on recommendation systems, contributing to innovative data products and machine learning development at a dynamic Big Data and ML startup.
• Design, develop, and optimize machine learning models for recommendation systems; collaborate on data pipelines; experiment with algorithms; and deploy scalable solutions in production environments.
• Mutt Data SRL is a remote-first startup in Argentina dedicated to building cutting-edge systems using Big Data and Machine Learning technologies to drive innovation.
• Gain hands-on experience with advanced ML techniques, contribute to impactful data products, and grow expertise in recommendation systems within a fast-paced, innovative startup environment.

🎯 Requirements

• Strong expertise in machine learning algorithms and model development
• Experience building and deploying recommendation systems
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Knowledge of Big Data technologies and data processing pipelines
• Ability to work remotely and collaborate effectively in a distributed team
• Solid understanding of statistics, linear algebra, and optimization techniques

🏖️ Benefits

• Fully remote work arrangement
• Opportunity to work with cutting-edge Big Data and ML technologies
• Impactful role in a growing startup shaping innovative data products
• Collaborative and dynamic team environment
• Professional growth in machine learning and recommendation systems
• Flexible work culture typical of innovative tech startups

Skills & Technologies

Remote

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Mutt Data SRL

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About Mutt Data SRL

Argentina-headquartered data consultancy that designs, builds and runs cloud-native data platforms and AI products for mid-market and enterprise clients across North and South America. Core services span data engineering, MLOps, analytics engineering and custom machine-learning model development, delivered by multidisciplinary teams using modern open-source stacks on AWS, GCP and Azure. Founded in 2014, the company maintains offices in Buenos Aires, Córdoba, Montevideo and Raleigh, and is a certified partner of Databricks, Snowflake, Google Cloud and AWS.

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