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Machine Learning Engineer Lead
2 months ago
Bain & Company is a global consultancy that helps the world's most ambitious change makers define the future. We're seeking a talented Lead, Machine Learning Engineer to join our Advanced Analytics Group (AAG) and help clients across industries solve their biggest problems using data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering.
About the RoleAs 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.
Key Responsibilities- Lead technical decision-making and drive the development of Machine Learning models in real-world production environments.
- Collaborate with Data Scientists, Impact Leaders, Consultants, and Team Leaders to design and implement innovative solutions.
- Write code in Python, embracing good code practices, and ensure the deployment of Machine Learning models.
- Design and build data pipelines, and work with cloud infrastructure to support experimentation with ML models.
- Develop and maintain Machine Learning models, and ensure their deployment and maintenance.
- Provide and accept frequent feedback, and strive to find and boost the best version of yourself.
- 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.
- 5 or more years of experience and/or a relevant graduate degree.
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.
