Job Requisition ID #24WD78385Position Overview: Marketing Data DomainThe Principal Snowflake AI/ML Engineer will be responsible for leading the design, analysis, and delivery of data-driven solutions to significant business challenges. This role involves working at a programmatic scale, coordinating delivery with multiple stakeholder teams. The team culture emphasizes collaboration, mutual support, and continuous learning. As a Principal AI/ML Engineer, you will provide technical guidance and thought leadership for the team and the company. The team strives for excellence in the theory and practice of Machine Learning and encourages personal development and knowledge sharing. You will report to Senior manager and its a hybrid work model.ResponsibilitiesLead, mentor, develop, and manage less-experienced members of the team to deliver key ML-powered features for our Marketing Analytics PlatformYou will develop a program of work, partnering with stakeholders, to solve strategic business objectives across a range of horizons.Work on new use cases on the Application of Generative AITranslate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine LearningYou will design and implement Machine Learning capabilities that improve Autodesk's Marketing Data Platform.You will perform statistical and data analysis and exploration to generate datasets for model training and development.Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice.Minimum Qualifications5+ years of applicable work experience in ML5+ years of hands-on experience in Snowflake with Marketing data domain3+ years of of experience on Generative AI projects.2+ years managing or leading an ML teamProficiency with the Python Machine Learning stack, e.g. Pandas, etcKnowledge of experimental design and analysis of resultsDemonstrate experience applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production.Demonstrate experience working in cross-functional teams to deliver ML solutions at scale.Familiarity Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP ApplicationsPreferred QualificationsSQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or AthenaAdvanced software engineering skills including data structures and algorithms.Experience with data pipelines and model serving in AWS.Experience with MLOps, especially on AWS, at scale.#LI-AK1Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belongingAre you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
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