Mlops Engineer

hace 1 mes


Barcelona, Barcelona, España Baxter Planning A tiempo completo

Company Overview

Baxter Planning has a rich history of innovation in the service supply chain planning space, dating back to 1993.

We combine the agility and innovation of a start-up with the stability of an established, profitable, global company.

Job Summary

We are seeking a highly skilled Data Engineer to join our team and contribute to the design, implementation, and optimization of our data systems.

Responsibilities

  1. Work with data scientists to develop, deploy, and monitor machine learning models.
  2. Build and manage serverless machine learning infrastructure using AWS services like Lambda, SageMaker, and AWS Step Functions.
  3. Implement an MLOps platform to automate the model lifecycle, including development, monitoring, tuning, and deployment of machine learning solutions.
  4. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our machine learning systems.

Requirements

  1. 5+ years of experience in MLOps or Data Science, with a focus on scalable machine learning solutions.
  2. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  3. Proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
  4. Deep understanding of AWS services relevant to MLOps, including SageMaker, Lambda, S3, EC2, and CloudWatch.
  5. Expertise in containerization and orchestration using Docker.
  6. Knowledge of infrastructure-as-code using AWS CloudFormation.
  7. Deep understanding of software development lifecycle and maintenance.
  8. Extensive experience with one or more orchestration tools (e.g., Airflow, StepFunction).

What We Offer

Baxter Planning offers a dynamic and supportive work environment, with opportunities for professional growth and development.



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