• Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML.

• Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed.

• Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists.

• Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI s needs

• Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc.

To be successful in the role you must have

• Proven skills of implementing a variety of Machine Learning techniques.

• Solid programming skills (R/Python) with proficiency in at least one.

• Proven track record of leading AI/ML projects end-to-end with complete ownership.

• Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc.

• Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers.

• Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios.

• Able to build and deploy AI models into production with focus on scaling, monitoring and performance.

• Sound knowledge of building explainable models (XAI) and prescriptive analytics.