Lead, Machine Learning Engineer
vor 2 Monaten
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are a Glassdoor Best Place to Work and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.
WHO YOU'LL WORK WITH
Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
WHAT YOU'LL DO
As a Lead, Machine Learning Engineer, you will lead on technical decision-making, embedded in projects and working with clients of different industries. You will also get your hands dirty writing code to get Machine Learning models working in real-world production environments. This role teams up 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.
ABOUT YOU
Solid theoretical background on machine learning, and practical experience on building and deploying machine learning models.
Write code in Python, embracing good code practices.
Ability to deal with different tasks during the whole 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, designing and building data pipelines, among others.
Experience working with cloud infrastructure.
Comfortable with the lifecycle of a Machine Learning model.
Comfortable with Containers.
Ability to build a service that exposes a ML Learning model to be consumed by other applications.
Passion for teaching others and sharing good practices.
Willingness to explore new tools and languages, investing time in learning for the future.
Versatile and enjoys diverse roles, including Data Scientist, Data Engineer, or Software Engineer.
Constant collaboration with teammates.
Provide and accept frequent feedback.
Be autonomous within a collaborative environment.
Strive to find and boost the best version of yourself
5 or more years of experience and/or a relevant graduate degree.
ABOUT US
Bain & Company is 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. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year 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. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
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