Data Scientist / Machine Learning Engineer

🕒 July 23

🌐 Brazil, Colombia, +3 more countries – Remote

🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote 🇦🇷 Argentina – Remote 🇵🇪 Peru – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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

In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Develop, deploy, and maintain production-grade Machine Learning (ML) models in cloud environments beyond local notebook development. • Perform Exploratory Data Analysis (EDA) and design feature engineering pipelines to support production ML workflows. • Build, maintain, and optimize data pipelines that feed and sustain ML models in production. • Monitor model performance, health, and drift post-deployment to ensure continuous reliability in production. • Partner with software engineering, data, and business stakeholders to translate business goals into scalable ML solutions. • Contribute to Artificial Intelligence (AI) and Large Language Model (LLM) based capabilities where applicable.

🎯 Requirements

• 2+ years of professional experience building, deploying, monitoring, and maintaining production ML models in real-world environments. • Strong Python programming skills along with advanced SQL capabilities. • Experience utilizing AWS SageMaker or equivalent enterprise ML platforms (such as Google Vertex AI or Azure ML). • Proficient with Git for version control and a demonstrated ability to work independently within production settings.

🏖️ Benefits

• No benefits mentioned