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Infotree Global Solutions is a leading company in the field, known for its dynamic and entrepreneurial spirit. With a team of dedicated professionals boasting over 50 years of collective experience, we prioritize customer service and innovative solutions in Human Resources, Engineering, and IT. Our commitment to personalized attention and customer-centric approach has led to strong customer loyalty and a remarkable yearly growth rate of over 100% since our establishment.

MLOps Engineer  

Modality: 100% Remote (LATAM preferred)

Obligatory: English advaced

Are you passionate about automation, infrastructure as code, and bringing machine learning models to life at scale?

Join our team as an MLOps Engineer, where you'll work with cutting-edge tools like MLFlow, Vertex AI, Terraform, and Kubernetes. You'll help streamline and secure our machine learning workflows while collaborating with cross-functional teams to drive impactful, scalable solutions.

What we're looking for:

• 3+ years of experience in MLOps, DevOps, or a related role.
• Proficiency in Python and Go (or Java).
• Experience with MLFlow, Vertex AI, or other ML lifecycle tools.
• Hands-on experience with Terraform for cloud deployments.
• Familiarity with Kubernetes and container-based workflows.
• Exposure to AWS or GCP cloud environments.
• Strong understanding of CI/CD, testing (unit/integration), and clean code principles.
• A proactive mindset and passion for GenAI as a tool for efficiency.

Please apply ONLY if you fit the profile and APPLY WITH YOUR ENGLISH UPDATE RESUME.

?To apply, send your resume and GitHub/portfolio (if available).