Machine Learning System Architect
3 weeks ago
We are seeking a talented Machine Learning System Architect to join our Data Engineering & Analytics team at Abbott Laboratories. As a key member of our team, you will be responsible for designing and developing machine learning systems and platforms that drive business value and improve customer experiences.
The successful candidate will have at least 3 to 8 years of experience in ML or ML Ops in a production environment, with a proven track record of building scalable and efficient software solutions for big data initiatives. You will work closely with data science and software engineering teams to support AI Ops needs and collaborate with stakeholders to ideate and prove viability of machine learning use cases.
Key Responsibilities:
- Designing and architecting machine learning systems and platforms
- Supporting AI Ops needs of data science and software engineering teams
- Customizing large language models for product applications
- Leading design and coding of big data and machine learning systems
- Collaborating with stakeholders to ideate and prove viability of machine learning use cases
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or relevant field
- Strong programming skills in languages like Python, Java, or Kotlin
- Experience building end-to-end scalable ML infrastructure and data pipelines
- Expertise in data engineering, natural language processing, and generative AI
- Excellent analytical and problem-solving skills
Estimated Salary: $125,000 - $145,000 per year, depending on location and experience. Abbott Laboratories offers a comprehensive benefits package, including health insurance, retirement plans, and opportunities for career growth and development.
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