We are driven by passion, innovation and creativity - and we distinguish ourselves by excellence and commitment. Those are our values. If you would like to be a part of a Team, committed to your development and that of our client’s, then apply here:

Details of the selected job:

A Senior DevOps Engineer (MLOps) designs the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. They also identify and evaluate new technologies to improve the performance, maintainability, and reliability of the final systems. For this role, it is important to communicate with other departments to build requirements and track progress.


  • Advanced Academic Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or related field.
  • Experience in at least 4 of the following deployment of machine learning and statistical models on a cloud:  MLOps within the enterprise CI/CD process for ML models. Experience deploying ML APIs in production environments in GCP using GKE. Experience in using GCP Vertex AI for ML and BigQuery. Knowledge of Terraform and Containers technologies. Experience writing data processing jobs using GCP Dataflow and Dataproc.  Experience setting up ML model monitoring and autoscaling for ML prediction jobs. Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry, and Analytics Hub.
  • Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.)
  • Proven ability to apply modeling and analytical skills to real-world problems.
  • Solid programming skills in at least 2 of the following languages R, SQL, Python, TensorFlow, PySpark, Java, JavaScript, or C++.


  • Birthday off
  • Vacations.

Job Functions:

  • Communicate with a team of data scientists, data engineers, and architects to document the processes
  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
  • Data science models testing, validation, and test automation
  • Enforce architectural standards across teams and projects
  • Work closely with numerous development teams to design & architect business solutions.

Join Our Talent Community

We are Novacomp!

A 100% Costa Rican IT Outsourcing & Nearshoring company, with more than 750 employees working together from more than 5 locations around the world. Our purpose is to transform organizations through know-how and innovation. We are looking for the best talent, ambitious, creative professionals, passionate about technology, who want to make a difference.

We have created a company with people who believe that technology should and can be used to deliver great experiences. We also have a culture of continuous learning, providing training and certification opportunities in state-of-the-art technologies for our people, to stay up to date and offer our customers the highest quality standards.

We are an experience, a community, a knowledge hub.

Learn more about Novacomp!

Our Values define us:


NovaShore is a Staff Augmentation and IT Talent Outsourcing company.

With over 25 years of experience,

our nearshore software outsourcing firm helps teams

accelerate their journey to Digital Transformation.

We bring our talent and skills to the table.

We believe in generating synergy and streamlining execution

throughout your strategic IT Projects.

Our Main Hub is located in Costa Rica

with supporting hubs across Latin America and the Caribbean.

Our nearshore company has a regional presence in 18 countries.



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