Lead Machine Learning Engineer for Integrated Business Planning Transformation

12 hours ago

Bengaluru, Karnataka, India Haleon Full time
About Haleon

Haleon is a world-leading consumer health company that aims to improve everyday health for billions of people. Our portfolio of category-leading brands includes Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum. We're achieving this through a unique combination of deep human understanding and trusted science.

Estimated Salary: $140,000 - $170,000 per yearMachine Learning Engineer Job DescriptionJob Overview

We're seeking an experienced Senior Machine Learning Engineer to join our team in transforming our integrated business planning process. The successful candidate will lead the deployment of machine learning solutions on our enterprise infrastructure, ensuring alignment with best practices and standards.

  • Design and implement end-to-end machine learning pipelines for various responsibilities
  • Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates
  • Implement ML engineering best practices, such as coding standards, code reviews, and automated testing
  • Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components
Required Skills and Qualifications

To be successful in this role, you'll need:

  • BSc, MSc or PhD degree in mathematics, computer science, or another scientific discipline providing solid foundations on relevant aspects of Data Science
  • 5-10 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets
  • Strong understanding of ML engineering best practices
  • Strong collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs
  • Experience with deploying machine learning solutions on enterprise infrastructure
  • Strong programming skills in Python or similar programming languages
Benefits

This role offers:

  • Contribute to a highly collaborative team with a culture of ownership, initiative, and responsibility
  • Contribute to the development of our Team's ML engineering standards of reusable DS, ML, and AI assets
  • Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence
  • Manage a team of up to 3 Machine Learning Engineers
Desirable Qualifications and Skills

The ideal candidate will also have experience with:

  • Cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP
  • Containerization and orchestration tools, such as Docker and Kubernetes
  • Software engineering principles, such as modular design, clean code, and testing
  • DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform

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