Remote ML Ops Engineer - Production AI & MLOps

FullStack; Valparaíso; À distance; CLP 118 343 000 - 177 515 000; Plein temps

Avantages offerts par ce poste

Competitive pay

100% remote work

Work with startups and Fortune 500

Continuing education

Career growth

Résumé du poste

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) to join client projects on a daily basis. You will integrate into client teams and drive production ML deployments, monitoring, and lifecycle management.

Required: 3+ years in ML software development, advanced English, a four-year degree, and hands-on MLOps experience including model tracking and CI/CD. Familiarity with Python, LLMs, and cloud infrastructure is expected. Remote, international collaboration.

Qualifications

• 3+ years of professional software development experience with Machine Learning and MLOps practices.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Proven experience deploying Machine Learning and AI models to production environments via APIs or endpoints.
• Practical experience implementing MLOps practices, including model tracking, versioning, monitoring, and lifecycle management.
• Hands-on experience with LLMs or Generative AI concepts and integrations.
• Solid understanding of core infrastructure and systems concepts, including containerization, cloud platforms, and CI/CD workflows.
• Proven experience with Python programming skills for ML development, automation, and production applications.
• Familiarity with ML lifecycle tools like MLflow, or data platforms such as Databricks, Snowflake, Spark, or BigQuery is a plus.
• Experience with agentic workflows, Retrieval-Augmented Generation (RAG), LangChain, or LangGraph is a plus.

Responsabilités

• Integrate into the client's team and work alongside their designers and engineers on a daily basis.
• Contribute to the deployment, monitoring, and lifecycle management of ML models in production.

Connaissances

Python for ML

MLOps practices

LLMs & GenAI

CI/CD workflows

Containerization

Cloud platforms

Agile/Scrum

Formation

Four-year college degree

Outils

MLflow

Databricks

Snowflake

Spark

BigQuery

LangChain

LangGraph

Description du poste

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) to join client projects on a daily basis. You will integrate into client teams and drive production ML deployments, monitoring, and lifecycle management.

Required: 3+ years in ML software development, advanced English, a four-year degree, and hands-on MLOps experience including model tracking and CI/CD. Familiarity with Python, LLMs, and cloud infrastructure is expected. Remote, international collaboration.