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AI Lead

Montreal, Quebec  - Permanent

Job Description

As the Montreal AI team head, you will need to have an advanced understanding of Data Science (DS), Machine Learning and programming, as well as, managerial skills to build a strong local team.

You will use your knowledge and/or experience in Data Science methodologies to lead a team of professionals in
solving challenging real-world problems as part of a highly dynamic and global team. Working in a highly collaborative environment, where you communicate and plan tasks and ideas, on high impact initiatives in Machine Intelligence.

Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses.

You will:

•Conduct functional and technical analysis within the organization and strategic customers to understand AI-driven business needs and opportunities.
•Lead a team for rapid and iterative development of validated minimum viable solution addressing these needs. This includes working with petabytes of 4G/5G-networks, IoT and exogenous data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical model, deep learning, reinforcement learning and other machine learning systems.
•Participate in studies and find creative usage of new and/or existing data sources. Work with Data Scientists and Architects to leverage existing data models and build new ones, as needed.
•Build the Montreal-based AI team and manage their work to be in-line with the Global AI Accelerator team’s objectives, plans and assignments.
•Collaborate with product development teams and partners to industrialize machine learning models and solutions including providing source code, workflows and documents.
•Work with new technologies and champion them in AI Communities within the organization.
•Assist AI Competence build-up in the business and Customer serving units.
•Help to develop new and apply/extend existing, concepts, methodologies, techniques for cross
•functional initiatives.
•Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for AI’s needs.

Must Have Skills:

•MS, or PhD in Electrical Engineer, Computer Science, Artificial Intelligence, Machine Learning, Physics, or related field.
•Applied experience: 2+ years of Machine Learning experience in data science.
•Proven track-record in management and building highly motivated and results-oriented teams.
•Extensive experience in model development and life-cycle-management in one or more industry/application domain.
•Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++
•Skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.
•Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow and Spark, etc.
•Demonstrated ability to implement new algorithms and methodologies from leading open source initiatives and research papers addressing their functionalities, scalability and overall industrialization viability.
•Experience with Big Data technologies such as Hadoop, Cassandra etc.
•Strong knowledge in Statistics, e.g., descriptive analysis and supervised and unsupervised analysis.
•Ability to work in a collaborative environment, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence.

Nice to Have Skills:

•Certifying MI MOOCS.
•Applications/Domain-knowledge in Telecommunication networks and/or IoT.
•Ability to build and nurture internal and external communities.
•Experience with data visualization and dashboard creation.
•Experience in writing and presenting white papers, journal articles and technical blogs on the results

Starting: ASAP
Travel: 15%
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