Senior Machine Learning Engineer

United States - New York Information Technology (IT) Group Functions Job Reference 291572BR City New York Job Type Full Time Your role Are you passionate about directly impacting the business by utilizing analytical and programming skills? Do you want to play a key role in creating practical AI applications?

We are looking for Machine Learning Engineer to: • collaborate with data scientists and business leaders to understand challenges facing the firm and its clients. • partner with Data Scientists and lay the foundational platform upon which models can be built and trained, study and transform data science prototypes • design, architect, develop, and operationalize ML/NLP/LLM applications at scale • run machine learning tests and experiments, train and retrain systems as needed • design, architect, and develop data processing framework to scale and deploy statistical and Machine Learning models that power analytics insight • build tools to monitor, logging, and tracking the health of the ML applications • delivering system automation by setting up continuous integration/continuous delivery pipelines • stay current on the new technology, and continue to optimize our data and ML ecosystem Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. Your team You will be part of the AI Center of Excellence in GOTO Group Functions.

Our Data Strategy, Platform, and AI/ML Competency are at the heart of UBS's Group Function to digitize and support the business processes in these functions. Our team is globally based in Switzerland, UK, EMEA, APAC and the US. Diversity helps us grow, together.

That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients. Your expertise • BS or MS or PhD in Computer Science, Data Science, Statistics, or related STEM fields • ideally 5 years of relevant or equivalent experience, experience in finance industry is a plus • familiar with applied data science methods, feature engineering, machine learning algorithms, NLP, and LLM • proven experience in building and supporting production ML applications • experience in creating monitoring, logging and tracking capabilities • hands on experience of database and analytical technologies in the industry • experience with full stack software development and familiar with frontend and backend development (such as AngularJS, VueJS, ReactJS, Flask, NodeJS) interacting with SQL/Non-SQL databases • proven experience in Agile methodologies and strong technical design and analysis skills Desirable experience and skills: • hands on experience with Spark, Databrick, and relevant Azure components • hands-on experience in designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark etc.) • experience with NLP, LLM techniques, deep learning and transformers to build ML and NLP applications • experience with data visualization tools About us UBS is the world’s largest and the only truly global wealth manager.

We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors We have a presence in all major financial centers in more than 50 countries.

How we hire This role requires an assessment on application. Learn more about how we hire: www.ubs.com/global/en/careers/experienced-professionals.html Salary information CA, CO, WA and NY based roles: The salary range for this role is $135,000 to $165,000 based on experience, education, and skill level.

This role may be eligible for discretionary incentive compensation. For benefits information: ubs.com/usbenefits. Join us At UBS, we embrace flexible ways of working when the role permits.

We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone.

We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of teamUBS and make an impact?

Contact Details UBS Business Solutions SA UBS Recruiting Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.