Job Reference #

297872BR

City

Pune

Job Type

Full Time

Your role

Do you want to design and build next generation business applications using the AI technologies as a backbone? Do you enjoy exploring capabilities of emerging technologies and do you like to use them to tackle a real business challenges?

We are looking for a Senior NLP/Gen Ai Engineer to:

Lead specialized solutions in Natural Language Processing (NLP) and generative AI techniques, focusing on enabling machines to comprehend and generate human language.

Play a crucial part in creating solutions that involve unstructured data.

Independently deliver innovative NLP/Gen AI solutions to solve some of the high impact / value projects.

Partner and collaborate with the Business, Data Scientist, Machine Learning Engineers and IT teams across the organization to uncover business value using AI-powered solutions.

Provide NLP/Gen AI driven solutions that will solve business problems and strengthen our position as digital leaders in financial services.

Design, architect, develop, and operationalize NLP/Gen AI POCs at scale.

Analyze business requirements and design and implement proof-of-concepts / pilots and minimum viable products.

Operationalize inhouse developed solutions in collaboration with various business and technical stakeholders.

Ability to take deep-dive into new and emerging ML/AI research topics independently.

Your team

You will be stepping into an exciting role with our Gen AI Crew in India, which is part of the Group Emerging Technology (GET) at GOTO. Here, you'll delve into the fascinating realm of emerging technologies, contributing to the build-up of Gen AI capabilities. Not only will you be working on high-impact projects that bring substantial value to our company, but you will also be joining a global team with active pods in Singapore and Switzerland. As a key member of our new India Pod that is currently being established, you'll have the chance to make a real difference.

Your expertise

• masters or Bachelors level degree in Computer Science or any related advanced quantitative discipline (analytics / data science background will be added advantage)
• ideally 5+ years of relevant or equivalent experience, experience in finance industry is a plus.
• in-depth experience and expertise in one or more areas like NLP, Gen AI, Knowledge Graph, Network Analysis, NLU, Sentiment, Speech-to-text.
• experience in creating monitoring, logging and tracking capabilities.
• hands-on working experience in Python scientific stack, SQL, UNIX/Linux systems for data wrangling, data analysis, modelling.
• MLOps and understanding of model’s lifecycle is a plus.
• experience on the Azure / AWS / GCP is a plus.
• proven experience in Agile methodologies and strong technical design and analysis skills
manage individual project priorities, deadlines, and deliverables.

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.

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.