Data Engineering Lead

3 weeks ago


North Chicago, Illinois, United States Abbott Full time
Job Description:
Senior Machine Learning Operations Engineer at Abbott.

About the Role:
We are seeking a highly skilled Senior Machine Learning Operations Engineer to join our Data Engineering & Analytics team. As a key member of the team, you will be responsible for building and maintaining scalable machine learning infrastructure, designing and developing data pipelines, and collaborating with cross-functional teams to deliver business value through AI-driven solutions.

About You:
To succeed in this role, you will need a strong background in software engineering, data engineering, and machine learning. You should have experience in designing and deploying large-scale data pipelines, managing complex machine learning models, and working with cloud-based technologies such as AWS or Azure. Your excellent communication skills and ability to work effectively in a fast-paced environment will enable you to build strong relationships with stakeholders and drive projects forward.

Responsibilities:
- Design and develop large-scale data pipelines to support machine learning workflows
- Collaborate with data scientists and engineers to deploy and maintain machine learning models
- Work with cross-functional teams to define and deliver business requirements
- Develop and maintain technical documentation and architecture diagrams

Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field
- 3-8 years of experience in software engineering, data engineering, or machine learning
- Strong programming skills in languages such as Python, Java, or Kotlin
- Experience with cloud-based technologies such as AWS or Azure
- Excellent communication and teamwork skills

Salary Range:
$83,000 - $166,000 per year, depending on location.
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