Abbott

AI Engineer

Abbott

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $111,300 - $222,700 per year

Job Level

JuniorMid-Level

Tech Stack

AzureCloudPython

About the role

  • Lead AI/ML Platform & Engineering strategy, including Generative AI and Advanced Analytics.
  • Drive alignment on architecture adoption and realization, partnering with business leaders.
  • Offer thought leadership and technical advice to business and tech leadership.
  • Develop Technical Architecture standards and guidelines based on industry trends.
  • Collaborate with data scientists and engineers to build production-level models and pipelines.
  • Optimize AI/ML processes and assist in model performance monitoring with operations team.
  • Communicate effectively with non-IT stakeholders to define technical solutions.
  • Facilitate product selection in alignment with Architecture Standards.
  • Mentor junior engineers and collaborate with company leaders to address business problems.

Requirements

  • Bachelor’s degree in a related field; advanced degree preferred.
  • 10+ years of experience, Master’s Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experience.
  • Experience in building and deploying Machine Learning solutions using various ML algorithms.
  • Hands-on experience with Python programming.
  • Experience in building IT use cases/solutions around AI/ML cognitive services and platforms.
  • Model productionization and CICD Automation experience.
  • Excellent understanding of Machine Learning techniques; proficiency in feature analysis, algorithm selection and model hyperparameter tuning.
  • Experience of senior executive/leadership engagement.
  • Exposure to architecture practices and frameworks: business, application, data, security, infrastructure and governance.
  • Experience with NLP/NLG, AI Conversational Agents & Other Generative AI.
  • Experience with Software development lifecycles.
  • Experience with Azure OpenAI, Azure Databricks, CloudDBs.
  • Experience in reviewing and selecting Technical and Applications Architectures solutions.
  • Certifications and specializations in AI/ML, LLMs and Cloud platforms (preferred).
  • Excellent oral, written and presentation communication skills.
  • Preferred team leadership experience and demonstrated mentorship capabilities.
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