Commercial Artificial Intelligence Engineer - Abbott Laboratories

• AI Solution Development:

  • Design develop and deploy AIdriven solutions to enhance commercial operations including sales forecasting customer segmentation and marketing campaign optimization.

  • Utilize machine learning algorithms natural language processing (NLP) and computer vision techniques to extract insights from diverse data sources.

• Data Engineering and Integration:

  • Architect and implement scalable data pipelines to ingest preprocess and analyze large volumes of structured and unstructured data.

  • Integrate AI models with existing systems and databases ensuring seamless data flow and interoperability across platforms.

• Model Training and Evaluation:

  • Train validate and optimize machine learning models using advanced algorithms and techniques.

  • Evaluate model performance and iterate on algorithms to improve accuracy robustness and interpretability.

• Deployment and Monitoring:

  • Deploy AI models into production environments monitoring performance and ensuring reliability scalability and security.

  • Implement mechanisms for continuous monitoring model retraining and feedback loop optimization to maintain model efficacy over time.

• Crossfunctional Collaboration:

  • Collaborate with sales marketing IT and data science teams to understand business requirements and translate them into technical solutions.

  • Serve as a subject matter expert on AI technologies providing guidance and support to stakeholders across the organization.

• Compliance and IT Policy Adherence:

  • Ensure that all AI solutions developed and deployed adhere to regulatory compliance standards and company IT policies.

  • Collaborate with compliance and IT teams to conduct risk assessments and ensure that AI implementations meet security privacy and ethical guidelines.

  • Implement controls and safeguards to protect sensitive data and mitigate potential risks associated with AI usage in commercial operations.

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.

• Proven experience in AI engineering machine learning and data engineering preferably in the pharmaceutical or healthcare industry.

• Proficiency in programming languages such as Python R or Scala as well as libraries and frameworks for AI development (e.g. TensorFlow PyTorch scikitlearn).

• Strong understanding of data management data preprocessing and feature engineering techniques.

• Experience with cloud platforms (e.g. AWS Azure Google Cloud) and big data technologies (e.g. Hadoop Spark) is a plus.

• Excellent problemsolving skills with the ability to analyze complex datasets and develop innovative solutions.

• Effective communication and collaboration skills with the ability to work in multidisciplinary teams and influence decisionmaking processes.

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.

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