SENIOR ASSOCIATE, MACHINE LEARNING ENGINEER

Senior Associate, Machine Learning Engineer - 000 - 120. 000 At Bain we say Champion the bold to achieve the extraordinary. At the Advanced Analytics Group (AAG) we deeply embody that statement; we put remarkable data innovators in front of the world's toughest challenges, delivering impact that goes way beyond businesses. By doing that, we aim to challenge the status quo and redefine the domains in which we work. We are building the most influential data innovation hub in South America. We are looking for creative yet courageous professionals like you to play a key role in helping us pursue this endeavor. What can you expect from us?We are people centered and team players: we want to provide an awesome environment to work and grow. An environment where we care about people, our wellbeing and a healthy and vibrant long term development. We believe in a place where autonomy is at the core, and where servant leadership provides direction, guidance and motivation, enabling the best version of each of us so we can build teams based on trust and where we help others shine. We deliver positive impact and challenge the status quo: we are obsessed with unleashing our clients full potential by developing quick and dirty data products that evolve fast through agile experimentation. We design a vision not conquered yet, and we only seek to make it a reality and bring true impact to the domains we work on. Be it a very complex operational mining process, an NGOs educational challenge, a retailers e-commerce, or a climate change endeavor, we bring state-of-the-art advanced analytics techniques to create new superior realities for our clients. We are playful and seek for uniqueness: complex problems require thinking out-of-the-box, giving room to challenging ideas and points of view. How we enable that? By nurturing creativity and having fun exploring novel paths and promoting curiosity and learning in empowered teams that take seriously their instincts and passions. Weve seen over and over again that this never-ending learning philosophy makes us better and stronger, broadening our capability range and enlightening our version in the future to tackle challenges that we havent seen before. What we expect from you?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. You are familiar with Containers. You can build a service that exposes a ML Learning model to be consumed by other applications. You love teaching others and sharing good practices. You like getting your hands dirty with new tools and languages. Sometimes it is better to take a risk and learn something new, rather than choosing the good old hammer you always use. It doesnt matter if you take more time, it is an investment for the future. You like being versatile. You get bored when every day looks the same, so you like sometimes getting dressed as a Data Scientist, Data Engineer or Software Engineer. Constant collaboration with your teammates. Provide and accept frequent feedback. Be autonomous within a collaborative environment. Find the best and unique version of yourself and boost it! You have 2 or more years of experience and/or a relevant graduate degree. What can you expect working with us?At the beginningImmediately become part of our diverse human ecosystem. Become familiar with our tools and methodologies. You will have a buddy who will support you in everything related to your entry. You will have a Professional Development (PD) advisor to support you in your professional development. During your first caseStart with one of our clients in a project that has a clear scope and timeline. Be exposed to the inner workings of a company and challenges. Interaction! You will have to relate with teammates as well as with clients in a dynamic style. Deploy a model into production that will directly impact reality. You will receive continuous feedback from your team and leadership. It is common that when you finish a project, you have time until you are assigned to another project. This window is especially important so you can: Cool down and recover energies for the next project. Document knowledge for the internal and external community. Join our R&D Lab and help us put into practice state-of-the-art and recently published AI papers. Write an article to publish on our engineering Medium. During your second caseYou will tackle a second problem, ideally different from your last project. As long as you learn new techniques, the complexity of your proposed solutions will grow. You will start walking ahead in your PD with your advisor. And from thereYou will be staffed to different projects in different industries. You will share with your colleagues your success and your failures. You will strengthen your critical thinking and be able to propose suitable solutions for each challenge. You will have the space to explore topics of your interest and write articles to consolidate your knowledge and share it with your colleagues. You will have space to work on pro-bono projects. 4 days week. Maternity and Paternity leave: birth and non-birth parents will be eligible to receive 26 weeks of paid leave. Life and medical insurance. Supplementary Health and Dental Insurance. Yearly bonus based on performance. Leave of Absence: unpaid break of 1-12 months (eligible after 1 year working with us). Gympass: experience fitness and wellness with gyms, studios and apps. Headspace: annual free subscription to the app that will provide Meditation and mindfulness for any mind, any mood, any goal. Language study subsidy (Spanish, Portuguese and English). By law, maternity leave in Chile can reach 30 weeks of paid leave. Note: some benefits may differ depending on location and could be subject to change. ABOUT USBain & Company is a global consultancy that helps the worlds most ambitious change makers define the future. Across 62 cities in 37 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 todays 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. #J-18808-Ljbffr