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Artificial Intelligence - Speech Product Manager

Mississauga, Ontario

Job Duties/ Accountabilities:
  • Lead and implement speech technologies tools and models
  • Lead the development of natural language machine learning products/ models from inception to production
  • Your team’s work will span requirements gathering & architecture, coding, testing, and deploying complex machine learning-based systems
  • Leading cross functional AI/ML teams of Data Scientists, Analysts, and Labelers
  • Support a team of approximately 15 employees
 
Critical Qualifications/ Competencies:
  • Practical experience in NLP
  • Experience in developing some of the following NLP models: Text summarization, text generation, sentiment and topic analysis, named-entity recognition, etc
  • Ability to lead NLP projects
  • Hands-on experience defining and operationalizing ML models into operational systems
  • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
  • 2+ years experience in strategy, planning, consulting, analytics or related disciplines
  • 2+ years of direct people management experience
  • A successful track record as a leader, developer and manager of people; demonstrated experience to attract, retain and develop strong talent and build a positive organization and team culture
  • Experience working closely with senior VP level executives across multiple business units
  • Self Motivation and drive to deliver high-quality solutions
  • Strong interpersonal skills, including the ability to collaborate across the team and work closely with stakeholders
  • Excellent written and oral communication skills (English) with a demonstrable history of developing strong partnerships and cross-team collaboration
  • Strong business acumen, with an appreciation for the opportunities and constraints that accompany an ever-evolving competitive environment
  • Proven project management and change management skills
 
Preferred Qualifications:
ML/NLP technical expertise (frameworks and libraries):
  • GCP Vertex AI Platform
  • Python development skills
  • Practical experience with NLP frameworks/libraries e.g. Gensim, SpaCy
  • Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
  • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
  • Ontology graphs, information retrieval, Elastic search
  • Computer science fundamentals
  • Database: SQL, Hadoop
 
Theoretical knowledge:
  • Advanced knowledge of ML models:  deep learning, reinforcement learning, and others
  • Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
  • Mathematical understanding of some ML algorithms: regression, SVM, decision trees, etc…
  • Experience with word embedding’s and or embedding quality evaluation 

 
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