Machine Learning Engineer – AWS

🔥 2 hours ago

🌐 Brazil, Argentina, +1 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 14%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 27 days.
• No salary listed.

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Coderio

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Coderio is a nearshore software development firm that provides on-demand engineering teams, IT staff augmentation, and fully managed software outsourcing to accelerate clients' digital transformation. They deliver front-end, back-end, mobile, cloud, data science, e-commerce, and QA solutions, and operate specialized studios for Data Governance, Machine Learning & AI, and Open Banking. Coderio emphasizes enterprise-level, timezone-aligned, fully-vetted, English-proficient engineering talent for B2B customers.

📋 Description

• Take ownership of the full lifecycle of Machine Learning models. • Coordinate the creation, deployment, and rollout of new features and variables for Fraud, Payments, and FX models. • Design preventive and corrective maintenance strategies for production models, including retraining, stability, and performance. • Oversee model observability to detect anomalies, data/concept drift, performance degradation, and real-time latency issues. • Ensure operational continuity of pipelines built on AWS SageMaker and streaming data flows with Apache Flink. • Plan the transition of legacy processes and infrastructure toward Databricks technologies, including Lakehouse, Feature Store, and Model Serving.

🎯 Requirements

• 4+ years of experience working with Machine Learning models in large-scale production, ideally in transactional or data streaming environments. • Hands-on experience managing and implementing flows in AWS SageMaker (pipelines, training, endpoints). • Familiarity or experience with real-time data processing using Apache Flink or similar streaming tools like Kafka / Spark Streaming. • Solid experience with Infrastructure as Code (Terraform) and CI/CD automation tools. • Fluent English (mandatory) for seamless daily communication with global, multicultural teams. • Experience within the Databricks ecosystem focused on Machine Learning, including Databricks Feature Store, Lakehouse architectures, and Databricks Model Serving (highly desirable). • Background in Fintech, Payment Processing, or Fraud Prevention (nice to have). • Official Databricks certifications, e.g., Databricks Certified Machine Learning Professional (nice to have).

🏖️ Benefits

• Long-term commitment with autonomy and impact on global, high-scale projects. • Strategic, high-visibility role within a modern engineering culture. • Collaborative, multicultural environment with strong technical leadership. • Career growth path and continuous learning opportunities within Coderio.

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