Expert Senior Manager, Machine Learning Engineering

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 is 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

As a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHAT YOU’LL DO 

As a senior member of the growing ML Engineering team in Bain’s AI, Insights & Solutions, you will:

• Work with general consulting teams to understand ML aspects of business problems, and appropriately prioritize and execute 
• Overall technical leader responsible for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work) 
• Participate in expert advisory activities that require deepexpertiseML engineering 
• Advise client executives on topics in ML engineering and roadmap design 
• Develop statistical/ML models to be handed over to clients as prototype or production software 

• Transform existing prototype code into scalable, production-grade software   
• Write,test, deploy andmaintain machine learning code across the full software development lifecycle 
• Codify client work into repeatable software toolkits and solutions 
• Regularly demonstrate code to other team members 
• Peer-review code contributions by other team members 
• Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common ML engineering problems across industries and business functions 
• Drive best demonstrated practices in software engineering, and share learningswith team members in AAG about theoretical and technical developments in ML engineering 
• Work with the team and other senior leaders to create a great working environment that attracts other great ML engineers 
• Develop relationships with external data and analytics vendors and interact as needed 
• Expert advisor in proposal discussions 
• Coach ML engineering teams at our clients and partners to raise their capabilities and ensure that our work is successfully deployed   
• Drive industry-leading innovations that translates intogreat impactfor our clients in case work 
• Act as PD Advisor as needed 
• Lead recruiting and onboarding for other team members
  
  

ABOUT YOU 

We are looking for someone who has:

• 10+ years of engineering experience 
• 3+ years of experience managing data scientists 
• Shipped production, enterprise scale data products 
• Track recordof leading and collaborating on strategic initiatives 

• Expert knowledge of Python and SQL 
• Proficiencyin one or more of R, Java, C++, Scala, Go, Julia 
• Strongtrack recordof implementing statistical and machine learning models, deployingtheseandmaintainingthem in production environments 
• Strong understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance 
• Solid understanding of foundational concepts and algorithms in statistics and machine learning, including linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc. 
• Experience with cloud platforms (e.g.AWS, GCP, Azure, Databricks,etc) and associated machine learning products,e.g.AmazonSageMaker, Azure ML 
• Experience in big data technologies,e.g.Hadoop,BigQuery, MapReduce, Apache Spark  
• Experience working according to agile principles 
• Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of ML algorithms and techniques with colleagues and clients from other disciplines 
• Ability to collaborate with people at all levels and with multi-office/region teams 
• Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations 
• Ability to use both English and Japanese as working language