Semi Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Industrialize, deploy, and scale Machine Learning models within production settings.

• Design and oversee end-to-end training, inference, and retraining pipelines.

• Create and sustain CI/CD pipelines for ML workflows, managing model tracking, versioning, and registry utilizing MLflow.

• Develop and provide APIs for model serving, ensuring optimal performance and scalability.

• Orchestrate workflows and tasks on Databricks.

• Containerize ML applications using Docker and facilitate deployment on Kubernetes-based infrastructure.

• Enforce model governance and versioning protocols for traceability throughout the ML lifecycle.

• Collaborate with Data Scientists, Data Engineers, and business stakeholders.

• Advocate for MLOps best practices and contemporary ML architecture within the team.

⛳️ Requirements

• Proficient in advanced Python and SQL.

• Experience with Spark / PySpark.

• Strong background in CI/CD pipelines and Git.

• Familiarity with MLflow (tracking, registry, and deployment).

• Proficient in Docker and have a working knowledge of Kubernetes concepts.

• Experience with Azure Cloud.

• Knowledge of implementing model monitoring and observability practices.

• Comprehensive understanding of MLOps and ML architecture principles.

• Proven experience in deploying models to production at scale.

• Hands-on experience with Databricks (Workflows, Jobs, Repos) is a plus.

• Familiarity with other cloud providers (AWS, GCP) is a plus.

• Experience with Kubernetes in production environments is a plus.

🏝️ Benefits

• Remote-first culture – work from anywhere.

• Full coverage for AWS, DBT, Google Cloud, Azure & Databricks certifications.

• Birthday off plus an additional vacation week (Mutt Week).

• Referral bonuses available.

• Maslow: Monthly credits to utilize in our benefits marketplace.

• Annual Mutters' Trip.