Ingeniero/a MLOps y Machine Learning

Worldwide | Oct. 24, 2026

Report as Closed

Company: DSAC Chile

Country: Worldwide

Type: Remote

Employment: Full-time

Description: DSAC is a Chilean technology company specialized in the development of technological solutions, artificial intelligence, cybersecurity and automation for companies seeking to improve their efficiency and generate real impact on their business. None

We are looking for a person with verifiable experience in implementing and deploying Machine Learning models, who enjoys working as a team and has a continuous improvement mentality. At DSAC Chile we care that the models not only work in development, but that they operate with quality in production, with monitoring, testing and documentation.

Training: Civil Engineering in Computer Science, Computer Engineering or related career.
Experience: at least 2 years implementing and deploying Machine Learning models.
Collaborative work: experience working in environments where Data Science and Data Engineering teams interact to bring solutions to production.
Exclusive knowledge: Python, Machine Learning, MLflow, Apache Airflow, SQL and Git.
Desirable: Google Cloud Platform (GCP), Docker, Kubernetes, CI/CD and MLOps.

Competencies: analytical thinking, results orientation, proactivity, collaborative work, problem-solving ability and continuous learning.

We especially value those who can communicate technical decisions, anticipate operational risks and maintain a quality standard so that solutions remain stable and measurable over time.

At DSAC Chile we are a Chilean technology company with more than 15 years promoting digital transformation through high-quality solutions in artificial intelligence, cybersecurity and automation. We work with a practical approach: we develop customized solutions, integrate systems and accompany our clients with IT outsourcing, supporting decision making with BI, big data and artificial intelligence. In this role you will join a strategic project in the energy sector, where the objective is to build and operate solutions based on Machine Learning that add real value to the business. You will be part of a multidisciplinary environment alongside Data Science and Data Engineering teams, collaborating in the complete cycle of models: from preparation and training to deployment, monitoring and continuous improvement in productive environments. Our focus is to achieve scalable, reliable and high-impact solutions, with good technical practices and documentation. Features

Implement, deploy and maintain Machine Learning models in productive environments, ensuring scalability, reliability and performance.
Build and maintain pipelines for training, validation and deployment of models, with traceability and quality controls.
Optimize models developed by Data Scientists so that they can run correctly in production (performance, latency, stability and release criteria).
Execute functional tests and make adjustments to ensure the correct functioning of the models, including validations in different scenarios.
Collaborate with Data Science and Data Engineering in the integration of data-based solutions, aligning dependencies, formats, versioning and operation requirements.
Monitor and maintain models in production, guaranteeing availability, stability and performance over time.
Document processes, implementations and good technical practices, facilitating the maintenance and continuity of knowledge.

Benefits

We offer 100% remote position with flexible hours and professional development opportunities within a strategic project in the energy sector. You will have the opportunity to get involved in technological innovation initiatives in the cloud, with a multidisciplinary team and a collaborative environment.

🧠 Development and Productivity