LLMOps Chapter Lead

As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead. As Chapter Lead Data Science, you report to the Tribe Lead COO Analytics.

Your responsibilities include:
Together with the Tribe Lead and Product Lead develop a view on the future of the LLM/ LLMOps capability craftsmanship and drive continues development of your chapter members

Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery

Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities

Steer and develop your chapter members to meet both their career goals and the organisation’s goals, driving engagement and results via inspiring leadership.

Act as an expert on the craftmanship development needs for Data Science

Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these

Work with your colleagues on the (global) backlog deliveries

Attract and retain the best talents, leading interviews when needed for your chapter

How to succeed

MSc or PhD in Computer Science or similar domain, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.

A minimum of 4 years experience in building Natural Language Processing or Information Retrieval pipelines and models

Experience with operationalisation of LLMs or Generative AI applications

You have an in-depth understanding of algorithms like Conditional Random Fields, Transformers, Recurrent Neural Networks, and Convolutional Neural Network

Management experience in an Agile organization. Management experience in a matrix set up is a plus.

A proven track record in analytics, backlog management and resource planning

Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others

Achieve optimum results by empowering teams

Passionate about developing teams to achieve craftmanship and personal development.

Experience in building “end-to-end ML software product” which has NLP/IR component

You have excellent oral and written communication skills at the technical and business level

Fluent in written and spoken English.

Familiarity with Agile Scrum way of working

Nice To Have

Experience with Google Cloud Platform

Experience with applying NLP in banking domain

Knowledge of DevOps practices including Git and CI/CD

Experience with CI/CD for Machine Learning pipeline (CD4ML).

Experience with traditional ML algorithms is a plus

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://careers.ing.com/en/benefits-NL

The benefits of working with us at ING include:
A salary range of €6.176 - €9.871

24-27 vacation days depending on contract

Pension scheme

13th month salary

Individual Savings Contribution (BIS), 3.5% of your gross annual salary

8% Holiday payment

Hybrid working to blend home working for focus and office working for collaboration and co-creation

Personal growth and challenging work with endless possibilities

An informal working environment with innovative colleagues

About us
With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

Questions?
Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.
Please note, multiple interview steps involving various business stakeholders will be part of the selection process.