Senior Machine Learning Solutions Architect

hace 4 días


Ciudad de México, Ciudad de México Bain & Company A tiempo completo

About Bain & Company

We are a global consultancy that helps the world's most ambitious change makers define the future.

Across 64 cities in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries.

Our commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today's urgent challenges in education, racial equity, social justice, economic development, and the environment.

Salary: $150,000 - $200,000 per year

This role is an exciting opportunity to lead on technical decision-making, embedded in projects and working with clients of different industries.

You will be responsible for writing code to get Machine Learning models working in real-world production environments, collaborating closely with Data Scientists, Impact Leaders, Consultants, and Team Leaders to boost, deepen, and streamline the development of innovative solutions that respond to high complexity problems.

Requirements

  • Solid theoretical background in machine learning, and practical experience in building and deploying machine learning models.
  • Write code in Python, embracing good code practices.
  • Ability to handle different tasks throughout the Machine Learning life cycle, including ML model deployment and maintenance, building and using tools for ML monitoring, CI/CD pipeline design, supporting experimentation with ML models, and designing and building data pipelines.
  • Experience working with cloud infrastructure.
  • Comfortable with the lifecycle of a Machine Learning model.
  • Experience with Containers.
  • Ability to build a service that exposes a ML model to be consumed by other applications.
  • Passion for teaching others and sharing good practices.
  • Enthusiasm for exploring new tools and languages, valuing learning over sticking to familiar methods.
  • Versatile and adaptable, enjoying variety in daily tasks.
  • Strong collaboration and feedback skills.
  • Ability to work autonomously within a collaborative environment.
  • 5 or more years of experience and/or a relevant graduate degree.


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