Senior ML Ops Engineer — End-to-End ML Deployments

Bluelight Consulting, Llc; Neuquén; Remote; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Long-term contract

High visibility role

Influence MLOps strategy

Collaborative international team

Dynamic, fast-paced environment

Job summary

Coderio is seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions. You will bridge data science and software engineering, evaluating cloud solutions and deploying scalable models to production.

The role emphasizes hands-on execution, cloud health, cost efficiency, and delivering high-quality, scalable ML systems that drive business value within an established engineering team.

Qualifications

• Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
• Hands-on experience implementing and deploying machine learning solutions in production environments.
• Advanced knowledge of Python, SQL, and Spark.
• Strong knowledge in Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
• Solid understanding of data architectures and complex systems integration.
• Ability to troubleshoot and solve complex software system issues.
• Extensive experience with AWS and GCP.
• Team player with good communication skills.

Responsibilities

• ML Architecture & Development: Architect and develop robust, end-to-end machine learning solutions.
• MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
• Cross-Functional Collaboration: Collaborate closely with data engineers and data scientists to create scalable solutions across the software lifecycle.
• Cloud & Architecture Strategy: Evaluate cloud solutions and analyse performance and cost-efficiency of architectures.
• Business Alignment: Interact with teams to understand business challenges and propose technical solutions.
• Mentorship & Advocacy: Communicate technical concepts clearly and teach teams to adopt new developments.

Skills

Python

SQL

Spark

Docker

Git

Bash

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Data architecture

Troubleshooting

AWS

GCP

Communication

Education

Bachelor's degree

Tools

Docker

Git

Bash scripting

FastAPI

Sagemaker Studio

Airflow

CloudFormation

Job description

Coderio is seeking a Senior Machine Learning Ops Engineer to own the architecture, development, and automation of end-to-end ML solutions. You will bridge data science and software engineering, evaluating cloud solutions and deploying scalable models to production.

The role emphasizes hands-on execution, cloud health, cost efficiency, and delivering high-quality, scalable ML systems that drive business value within an established engineering team.