Commercial Artificial Intelligence Engineer - Abbott Laboratories
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Job Description
About Abbott
Abbott is a global healthcare leader creating breakthrough science to improve peoples health. Were always looking towards the future anticipating changes in medical science and technology.
Were empowering smarter medical and economic decision making to help transform the way people manage their health at all stages of life. Every day more than 10 million tests are run on Abbotts diagnostics instruments providing lab results for millions of people.
Our rapid diagnostics solutions are helping address some of the worlds greatest healthcare challenges.
Working at Abbott
At Abbott you can do work that matters grow and learn care for yourself and family be your true self and live a full life. You will have access to:
Career development with an international company where you can grow the career you dream of .
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity working mothers female executives and scientists.
Abbott Rapid Diagnostics is hiring a Commercial Artificial Intelligence Engineer based in Dubai.
As a Commercial Artificial Intelligence Engineer at ARDx you will spearhead the integration of artificial intelligence (AI) technologies into our commercial operations. Leveraging your expertise in AI engineering machine learning and data science you will develop and deploy innovative solutions to optimize sales marketing and customer engagement strategies. Working closely with crossfunctional teams you will translate business requirements into scalable AI solutions driving efficiency effectiveness and competitive advantage in the pharmaceutical industry.
What Youll do
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.
Required Qualifications:
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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Employment Type
Full Time
