Remote ML Engineer - Production ML & GenAI Pipelines

Ravn Inc.; Comisión de Fomento de Perú; Hybrid; ARS 139,364,000 - 201,304,000; Full time

Job summary

Ravn is hiring an ML Engineer to own how machine learning models move from experiment to production. You will design pipelines, infrastructure, and practices to deploy and monitor ML models in the cloud, including GenAI workloads, with cost-efficient strategies.

Responsibilities include building CI/CD for ML, implementing MLOps, managing environments, and collaborating with data scientists and engineers to integrate models into production APIs. Remote Latin America option available.

Qualifications

• Bachelor’s degree in computer science, mathematics, computational linguistics, or a similar field (or equivalent practical experience).
• 5+ years of experience in ML engineering, MLOps, or a closely related role.
• Demonstrated experience deploying and operating ML systems at scale.
• Strong Python skills, and solid experience with SQL and NoSQL databases.
• Strong backend engineering background in at least one modern language or framework (Python, Node.js, Go, .NET, Java, or similar).
• Hands‑on experience with CI/CD tooling (e.g., GitHub Actions, GitLab CI, Jenkins) and containerization (Docker, Kubernetes).
• Experience working in a microservices or distributed‑systems environment.
• Strong written and verbal communication skills in English.
• Ability to adapt to changing business and project priorities.

Responsibilities

• Design, build, and maintain automated pipelines to deploy, monitor, and iterate on ML models in the cloud, including classical ML and LLM/GenAI workloads.
• Build and own CI/CD for ML (training, testing, validation, release, rollback) using modern tooling.
• Implement MLOps best practices: experiment tracking, model versioning and registries, reproducibility, and observability (drift, performance, data quality).
• Manage dependency and environment standards (Python packaging, containers) across ML projects.
• Provision and manage cloud infrastructure for training and inference workloads, using infrastructure-as-code.
• Develop and apply strategies to optimize cloud and compute costs (right-sizing, autoscaling, spot/serverless, GPU utilization).
• Partner with data scientists, backend engineers, and product teams to integrate models into production services and APIs.

Skills

Python

SQL

NoSQL

Microservices

English communication

Education

Bachelor’s degree in CS/Math/Computational Linguistics or related

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

Terraform

Job description

Ravn is hiring an ML Engineer to own how machine learning models move from experiment to production. You will design pipelines, infrastructure, and practices to deploy and monitor ML models in the cloud, including GenAI workloads, with cost-efficient strategies.

Responsibilities include building CI/CD for ML, implementing MLOps, managing environments, and collaborating with data scientists and engineers to integrate models into production APIs. Remote Latin America option available.