Machine Learning Engineer

Job not on LinkedIn

🕒 April 1

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices. • Implement client requirements, from exploratory data analysis (EDA) to feature engineering and model lifecycle management. • Build ML Proof of Concepts (POCs) to validate and refine solutions. • Optimize models for performance, latency, memory, and throughput. • Apply statistical analysis techniques and develop regression models. • Design and maintain feature stores and data pipelines for ML workflows. • Research and implement emerging ML/AI techniques to enhance solutions. • Collaborate with stakeholders to align technical solutions with business needs.

🎯 Requirements

• Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup. • Strong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly). • Knowledge of SQL • Experience with cloud platforms (AWS, GCP, Azure).

🏖️ Benefits

• 🌍 Remote-first culture – work from anywhere! • 🚀 In-Company English Lessons. • 💪 Wellhub or sports club stipend to stay active • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • 🍕 Food credits via Pedidos Ya – because great work deserves great food. • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️) • 🤝 Referral bonuses – help us grow the team & get rewarded! • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!