Coderio
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.
Senior Machine Learning Engineer
Job not on LinkedIn
🔥 0 minutes ago
🌐 Argentina, Uruguay, +1 more countries – Remote
⏳ Contract/Temporary
🟠 Senior
🤖 Machine Learning Engineer
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Coderio
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
• Architect and develop robust, end-to-end machine learning solutions. • Manage and automate the complete machine learning lifecycle from development to production. • Collaborate with data engineers and data scientists on highly scalable solutions. • Integrate machine learning solutions across the software development life cycle and other technical areas. • Evaluate cloud architectures for performance and cost-efficiency. • Interact with teams and stakeholders to understand business challenges and propose technical solutions. • Communicate technical concepts clearly and teach teams to adopt new developments. • Own the technical health of the ML lifecycle, cloud architecture performance, cost-efficiency, and scalable solution delivery.
🎯 Requirements
• Bachelor’s degree in software engineering or computer science, or proven equivalent experience in data engineering or machine learning roles. • Proven hands-on experience implementing and deploying machine learning solutions in production environments. • Advanced knowledge of Python, SQL, and Spark. • Strong knowledge of Docker, Git, Bash scripting, FastAPI, SageMaker Studio, Airflow, and CloudFormation, or similar tools. • Solid understanding of data architectures and complex systems integration. • Demonstrated ability to troubleshoot and solve complex software system issues. • Extensive experience with modern cloud platforms, specifically AWS and GCP. • Team player with curiosity, self-learning ability, positive attitude, and excellent communication skills. • Domain experience in payments or other complex financial systems is a plus.
🏖️ Benefits
• Long-term contract engagement with high impact and autonomy. • Strategic and high-visibility role within a modern engineering culture. • Opportunity to influence technical strategy, especially regarding MLOps, scalable data architectures, and cloud cost-efficiency. • Collaborative international team with strong technical leadership. • Flexible, dynamic, and fast-paced work environment. • Remote-first work arrangement. • Inclusive and challenging environment with real growth opportunities. • Fair compensation.
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