Senior Machine Learning Engineer - Remote Eligible

Senior Machine Learning Engineer

Are you interested in working with the World's leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!

We are looking for a Senior Machine Learning Engineer to join our growing team! Role - Senior Machine Learning Engineer Location - Remote (Mexico/Argentina)

We are seeking a Senior Machine Learning Engineer to build and deploy agentic AI systems for extracting entities from historical documents. To work with both open-source and third-party LLMs to create scalable, production-ready solutions on AWS infrastructure.

Key Responsibilities

• Design and implement agentic systems for automated document processing
• Deploy and manage open-source LLMs on AWS infrastructure
• Integrate third-party LLM APIs for entity extraction workflows
• Build scalable ML pipelines using AWS services (EC2, Lambda, S3)
• Optimize model performance and cost efficiency
• Implement robust data processing and storage solutions
• Monitor and maintain production ML systems
• Troubleshoot and resolve production pipeline issues
• Implement monitoring, alerting, and observability for ML pipelines
• Building agentic workflows

Required Technical Skills

• Python: Advanced proficiency for ML development and automation
• AWS EC2 Auto Scaling Groups: Managing scalable compute resources
• AWS S3: Large-scale data storage and retrieval
• AWS Lambda: Serverless function deployment and orchestration
• AWS IAM: Security policies and access management
• Machine Learning: Experience with LLMs, NLP, and entity extraction
• Agentic AI Systems: Building autonomous AI workflows and decision-making systems
• AWS Agent Core: Experience building and deploying agent-based systems
• Production Monitoring: CloudWatch, logging, metrics, and alerting systems
• Troubleshooting: Debugging production ML pipelines and resolving performance issues

Preferred Qualifications

• Experience with document processing and OCR technologies
• Familiarity with MLOps practices and CI/CD pipelines
• Experience with containerization (Docker) and orchestration
• Production support experience
• Agentic systems experience

What You'll Work On

• Historical document digitization and analysis projects
• Multi-modal AI systems combining text and image processing
• Scalable entity extraction pipelines processing thousands of documents
• Integration of multiple LLM providers for optimal accuracy and cost
• Real-time and batch processing workflows
• Production monitoring dashboards and alerting systems

Impact

Work will involve unlocking valuable insights from historical archives, making previously inaccessible information searchable and analyzable for researchers, historians, and institutions worldwide.

Why Qualitest?

• Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
• Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company – Qualitest is growing massively (since Jan 2021 – added more than 2000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
• Never stop experimenting and learning with Qualitest Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
• Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn – tap your network for net-worth.

Intrigued to find more about us?

• Visit our website at https://www.qualitestgroup.com/

If you like what you have read, send us your resume and let's start talking!