[1747] - Sr Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer to lead the end-to-end design and implementation of large-scale, production-grade AI systems. This is a highly hands-on role focused on building, scaling, and operating ML systems that serve a high volume of users in real-world environments.

You will take ownership of ML system architecture — from data pipelines and model integration to inference, monitoring, and optimization — with a strong emphasis on AWS-based infrastructure and RAG architectures deployed at scale.

This is not a research role. We are looking for a senior systems builder who has successfully delivered AI/ML platforms in production and understands the challenges of reliability, performance, cost efficiency, and scalability in high-traffic environments.

You will collaborate closely with AI, data science, and product teams while operating with high autonomy and technical ownership.

This is a fully remote position, open to candidates based in LATAM, with a preference for Eastern or Central time zones to collaborate effectively with teams across the US, Europe, and India.

Responsibilities

• Build and maintain production-grade data pipelines that power AI systems, integrating with existing infrastructure and developing new pipelines as needed

• Design, implement, and deploy RAG architectures, embeddings pipelines, and LLM-powered features on AWS

• Implement monitoring, observability, and evaluation frameworks for AI systems, including performance, cost, and output quality metrics

• Rapidly prototype, test, and validate AI approaches, iterating from experimentation to production-ready solutions

• Optimize LLM usage across the platform, including model selection, prompt engineering, and inference deployment

• Collaborate closely with product and data science teams to translate business and customer needs into working AI systems

• Ensure systems are scalable, maintainable, well-documented, and ready for long-term use

Requirements

Technical & Professional Experience

• 10+ years of experience in machine learning engineering, data engineering, or a combination of both

• 5+ years of experience building and deploying production AI applications using LLMs

• 3+ years of hands-on experience with RAG architectures, vector databases, embeddings, and retrieval systems in production

• Experience using AWS Bedrock for AI/ML workloads.

• Strong data engineering skills, including pipeline design, data transformation, and large-scale dataset handling

• Solid software engineering fundamentals, including version control, testing, CI/CD, and code review practices

Ways of Working

• Ability to work independently with minimal supervision while collaborating effectively with cross-functional teams

• Strong ownership mindset and accountability for end-to-end delivery

• Active use of AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) in daily workflows

Nice to Have

• Experience with LLM fine-tuning and a clear understanding of when to fine-tune versus rely on prompt engineering

• Background in retail, e-commerce, or product data domains

• Experience with Python, Node.js, and modern application development stacks

• Experience optimizing AI models for cost-efficient inference at scale

Benefits

• 100% remote work

• International contractor contract with competitive USD compensation

• Stable, long-term client engagement

• Flexible schedule and high autonomy

• Exposure to complex, large-scale technical challenges

• Supportive, inclusive, and collaborative engineering culture

About the Company

We are technology agency with over 10 years of experience delivering high-impact software solutions for international clients, primarily across the US and Canada. We partner with leading companies to build scalable, secure, and data-driven platforms, embedding our engineers directly with client teams as trusted long-term partners. Our culture is remote-first and grounded in technical excellence, ownership, collaboration, and accountability.