AI/ML Engineer

2 weeks ago


South San Francisco, California, United States GSK Full time
About the Role

We are seeking a highly skilled AI/ML Engineer to join our team at GSK. As a key member of our team, you will play a critical role in developing and implementing cutting-edge AI and machine learning solutions to drive business growth and improve patient outcomes.

Key Responsibilities
  • Design, develop, and deploy AI and machine learning models to drive business insights and decision-making
  • Collaborate with cross-functional teams to integrate AI and machine learning solutions into our products and services
  • Develop and maintain high-quality, scalable, and secure cloud-based applications using cloud platforms such as GCP
  • Work with data scientists and engineers to design and implement data pipelines and data visualization tools
  • Stay up-to-date with the latest advancements in AI and machine learning and apply this knowledge to drive innovation and improvement
Requirements
  • Bachelor's or graduate degree in Computer Science, Data Science, or related field
  • 5+ years of experience in AI/ML engineering, full-stack development, or cloud engineering
  • Proficiency in programming languages such as Python, Java, or C++
  • Experience with cloud platforms such as GCP, AWS, or Azure
  • Strong understanding of data structures, algorithms, and software design patterns
Preferred Qualifications
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with DevOps tools such as Jenkins, Docker, or Kubernetes
  • Strong communication and collaboration skills
About GSK

GSK is a global biopharma company that is committed to uniting science, technology, and talent to get ahead of disease together. We are a place where people can thrive, feel inspired, and challenged to be the best they can be. We are an equal opportunities employer and welcome applications from diverse candidates.


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