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Position: Senior Machine Learning Engineer
Institution: Bain & Company
Location: Sao Paulo, Brazil
Duties: As a Machine Learning Engineer, you will play a fundamental role 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 at 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
Requirements: Strong theoretical background on machine learning, ideally practical experience on building and deploying machine learning models; Write code in Python, embracing good code practices; Being able to deal with different tasks during the whole Machine Learning life cycle. What kind of tasks? 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; You have experience working with cloud infrastructure; You are familiar with the lifecycle of a Machine Learning model
   
Text: Senior Machine Learning Engineer As a Machine Learning Engineer, you will play a fundamental role 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 at 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 Strong theoretical background on machine learning, ideally practical experience on building and deploying machine learning models; Write code in Python, embracing good code practices; Being able to deal with different tasks during the whole Machine Learning life cycle. What kind of tasks? 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; You have experience working with cloud infrastructure; You are familiar with the lifecycle of a Machine Learning model
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