Senior MLOps Engineer

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

📋 Description

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

• Design and oversee training, inference, and retraining pipelines from start to finish.

• Construct and maintain CI/CD pipelines for ML workflows, ensuring seamless and dependable releases.

• Implement and manage model tracking, versioning, and registry using MLflow.

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

• Orchestrate workflows and jobs on Databricks (Workflows, Jobs, Repos).

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

• Enforce model governance and versioning practices to guarantee traceability throughout the ML lifecycle.

• Collaborate closely with Data Scientists, Data Engineers, and business stakeholders to align technical solutions with business objectives.

• Advocate for MLOps best practices and modern ML architecture throughout 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).

• Experience with Docker and a working knowledge of Kubernetes concepts.

• Experience with Azure Cloud.

• Background in 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 preferred additional skill.

• Experience with other cloud providers (AWS, GCP) is a preferred additional skill.

• Experience with Kubernetes in production environments is a preferred additional skill.

🏝️ Benefits

• Remote-first culture – work from anywhere!

• In-Company English Lessons.

• Wellhub or sports club stipend to stay active.

• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.

• Food credits via Pedidos Ya.

• Birthday off + an extra vacation week (Mutt Week! 🏖️).

• Referral bonuses.

• Annual Mutters' Trip.

• Monthly Childcare Reimbursement.