AI Director- Industrialization

AI Director- Industrialization

  • Anywhere

Company Name:-
Ericsson

Job Location:-
Bengaluru, Karnataka

Job Summary:-
At Ericsson, you can be a game changer! Because working here isn’t just a deal.

It’s a big deal.

This means that you get to leverage our 140+ years of experience and the expertise of more than 95,000 diverse colleagues worldwide.

As part of our team, you will help solve some of society´s most complicated challenges, enabling you to be ‘the person that did that.

’ We’ve never had a greater opportunity to inspire change; setting the bar for technology to be inclusive and accessible; empowering an intelligent, sustainable, and connected world.

Our Exciting Opportunity
Our AI Delivery team is innovating how we make our business transformational using AI and Machine Learning.

Working cross functionally, we are inventing new ways of communicating, measuring, and interacting with our stakeholders through application of digital technologies.

The role involves working with our partners across the organization to help them create scalable and production-grade AI/ML products.

You will,
You will be working with a scrum team comprising of data scientists, business analysts, data engineers, and subject matter experts to deliver production grade AI/ML.

You will be tasked with operational value realization of machine learning models and retraining systems.

Often, you will have to take a model prototype built by a data scientist and work with the team to put that model in production.

This will involve making the model scalable and efficient (parallelizing, using appropriate libraries, adding basic efficiencies from the code/data/architecture etc.

).

This can also entail building or rewriting the model from scratch.

Creating a model governance architecture for retraining (upon drift) will also be your responsibility.

In addition, creating the architecture/framework for performance evaluation and feedback loop will also be expected, prior to handover to ML Ops team.

Your model deployment will most likely be in the cloud, and we’ll look for the appropriate experience at your end.

Some reporting and visualization skills will come in handy too.

You don’t have to be an expert in all these topics but need to be able to demonstrate aptitude and some experience.

This role will require interfacing with executive teams so strong communicati

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