--- title: 'Senior Machine Learning Engineer at Coderio' canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-coderio-argentina-mkem7apfzq24' type: 'job' last_seen: '2026-09-15' --- # Senior Machine Learning Engineer at Coderio - **Company:** Coderio - **Location:** Argentina - **Employment:** contract - **Work type:** remote - **Posted:** 2026-08-18 - **Last confirmed live:** 2026-09-15 - **Apply:** https://jobs.lever.co/coderio/dff064ee-d76d-4bab-ab4d-c8922afc240c ## Job description ## About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🌍 More information:http://coderio.com This is a high-impact technical role. We are looking for a Senior Machine Learning Ops Engineer to join our team. You will own the architecture, development, and automation of end-to-end machine learning solutions. Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production. This is a hands-on execution role. You are responsible for the technical health of the ML lifecycle, the performance and cost-efficiency of the cloud architecture, and delivering high-quality, scalable solutions that drive business value. What To Expect In This Role (Responsibilities) - ML Architecture & Development: Architect and develop robust, end-to-end machine learning solutions. - MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production. - Cross-Functional Collaboration: Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle. - Cloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures. - Business Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions. - Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments. ## Requirements - Educational Foundation: Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles. - ML Deployment Mastery: Proven hands-on experience implementing and deploying machine learning solutions in production environments. - Core Stack Expertise: Advanced knowledge of Python, SQL, and Spark. - Tooling & Infrastructure: Strong knowledge in (or similar to) Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation. - Architecture & Integration: Solid understanding of data architectures and complex systems integration. - Problem Solving: Demonstrated ability to troubleshoot and solve complex software system issues. - Cloud Platforms: Extensive experience with modern cloud platforms, specifically AWS and GCP. - Soft Skills: Must be a team player who effectively participates within the group. We are looking for a curious profile, a self-learner with a positive attitude, and excellent communication skills. ## Nice to Have - Domain experience in payments or other complex financial systems is a huge 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. Why Join Coderio? At Coderio, we value talent and excellence. We are a remote-first company, and this specific strategic role offers the opportunity to drive high-stakes initiatives from anywhere. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now. ## About Coderio ## Company Overview - **One-liner**: Coderio is a nearshore software development and technology solutions company that builds custom software and provides dedicated engineering teams for enterprises and scale-ups. - **Entity Type**: Private (no disclosed funding rounds) - **Headquarters**: New York, New York, United States - **Founded**: 2017 - **Founders**: Not publicly disclosed in available sources ## Core Business - Primary industry: Software Development / Nearshore IT Services - Target customers: B2B, primarily enterprises (Visa, McDonald’s, Coca‑Cola, BBVA, FedEx, IBM, Santander) and mid‑market companies - Mission or purpose: To build the best software development company in the Americas and become the leading tech partner for enterprises in Latin America ## Products & Services - **[Custom Software Development]**: Full‑lifecycle development of web, mobile, and enterprise applications, including MVP builds and legacy modernisation. - **[Staff Augmentation]**: On‑demand access to a pool of 10,000+ pre‑vetted senior engineers (7+ years experience) aligned to US time zones. - **[Managed Development Squads]**: Fully assembled, dedicated cross‑functional teams that take end‑to‑end ownership of product or platform initiatives. - **[AI‑Enhanced Engineering]**: Integration of AI tools throughout the SDLC to accelerate delivery, reduce costs, and improve software quality. ## Market Standing - **Valuation/Revenue**: Annual revenue estimated at **$10M** (LinkedIn, 2025); valuation not publicly disclosed. - **Key Metric**: **93% employee retention rate**; **180+ employees** across 6 countries. - **Notable Clients/Partners**: Visa, McDonald’s, Coca‑Cola, BBVA, FedEx, IBM, Santander. - **Growth Signals**: Headquartered in New York with 8 offices across Latin America (Argentina, Colombia, Mexico, Peru, Chile, Uruguay); 101k+ LinkedIn followers (2.5% monthly growth); ability to assemble a squad within 7 days; continuous investment in AI‑driven development practices. ## Competitive Advantages - Time zone alignment with US businesses via 6 nearshore delivery centres in Latin America. - Strict vetting process ensuring only top‑tier, senior‑level engineers (7+ years of experience) enter the talent pool. - 100% English‑proficient engineers enabling frictionless communication. - High employee retention (93%) results in stable, deeply invested teams for clients. - Proven methodology covering Discovery, Design & Architecture, Development, and Deployment & Support. ## Strategic Focus - Embedding AI into every phase of the software development lifecycle to drive faster time‑to‑market and lower costs for clients. - Scaling the nearshore talent network to meet growing enterprise demand for flexible, high‑quality engineering capacity. - Strengthening long‑term partnerships with Fortune 500 companies while expanding into new verticals. ## Why Work Here - **Culture & Ratings**: Employer rating of 4.8/5.0 on LinkedIn (Work‑Life: 4.8, Compensation: 4.8, Culture: 4.9, Career: 4.8). - **Engineering Focus**: Emphasis on continuous learning, internal guilds and chapters, and exposure to the latest technologies. - **Work Style**: Not explicitly stated if fully remote/hybrid/office; operates 8 offices in the Americas, suggesting a mix of in‑office and remote options depending on role. - **Perks**: Not detailed in available sources, but the high retention and positive reviews indicate strong internal culture and career growth opportunities. ## Sources 1. [coderio.com/about-us](https://www.coderio.com/about-us/) 2. [coderio.com/leadership-team](https://www.coderio.com/leadership-team/) 3. [linkedin.com/company/coderio](https://www.linkedin.com/company/coderio) 4. [jobs.lever.co/coderio](https://jobs.lever.co/coderio) 5. 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