Remote Otter LogoRemoteOtter

Data Science Engineer I - Remote

Posted Yesterday
Software Development
Full Time
USA

Overview

We are expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale.

In Short

  • Assist in developing, training, and validating machine learning models for real-world applications.
  • Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools.
  • Perform data cleaning, normalization, and feature engineering.
  • Collaborate on ML projects such as outcome prediction systems and image classification models.
  • Contribute to building interactive applications by integrating ML models.
  • Participate in MLOps workflows.
  • Document data flows, ML experiments, and application logic.
  • Attend Agile meetings and collaborate with peers.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or related field.
  • Experience in machine learning, data engineering, or software development roles.
  • Solid understanding of supervised learning and data preprocessing techniques.
  • Experience with SQL, PostgreSQL, and REST API integration.
  • Proficiency in Python and common ML libraries.
  • Familiarity with full-stack or web-based ML applications.
  • Experience with version control tools like Git.
  • Strong problem-solving skills and attention to detail.
  • Effective communication and documentation skills.

Benefits

  • Opportunity to work on cutting-edge AI and ML solutions.
  • Collaborative team environment.
  • Continuous learning and growth opportunities.
Rackspace logo

Rackspace

Rackspace is a leading provider of cloud solutions, specializing in advanced technical support and management of complex AWS-based environments. The company focuses on delivering high-performance, secure, and scalable cloud architectures while ensuring optimal operational efficiency. With a commitment to customer satisfaction, Rackspace empowers its teams to troubleshoot critical issues, implement automation, and lead innovative projects in cloud migration and modernization. The company values technical expertise, collaboration, and continuous improvement, making it a trusted partner for businesses navigating their cloud journeys.

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