Senior Machine Learning Engineer

Company:
Location: Montréal, QC

*** Mention DataYoshi when applying ***

Location: Montreal, Canada

Dans des marchés en rapide évolution, les clients à travers le monde font confiance à Thales. Thales est une entreprise où les personnes les plus brillantes du monde entier se regroupent pour mettre en commun leurs idées et ainsi s'inspirer mutuellement. Dans tous les secteurs où œuvre Thales, notamment l’aérospatiale, le transport, la défense, la sécurité et l'espace, nos équipes d’architectes conçoivent des solutions innovantes qui rendent demain possible dès aujourd’hui.

Carrefour mondial de l’intelligence artificielle, Montréal est le foyer du nouveau centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx) collaborant avec les principaux groupes canadiens de recherche en intelligence artificielle à Montréal et à Toronto. S’appuyant sur ses compétences dans les principaux marchés industriels, Thales donne vie à l'intelligence artificielle au profit de ses clients tout en créant de passionnants emplois pour les chercheurs et les développeurs experts en intelligence artificielle en vue de trouver des solutions qui transformeront notre monde, du fond des océans aux confins de l'univers et du cyberespace. Ayant très tôt opté pour le modèle d’innovation ouverte et collaborative, Thales procède actuellement à la création de la structure du centre de recherche et de technologie spécialisé en intelligence artificielle (cortAIx). Piloté par Thales, le centre cortAIx, en collaboration avec l'Institut québécois d'intelligence artificielle (MILA), l'Institut de valorisation des données (IVADO) et l’Institut Vector de Toronto, est situé dans le célèbre quartier Petite-Italie, au cœur de la communauté de l’innovation à Montréal.

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Montreal – a world leading AI hub, is home to new Centre of Research & Technology in Artificial Intelligence eXpertise (cortAIx) collaborating with leading Canadian AI research groups in Montreal and Toronto. With competencies in major industrial markets Thales is bringing artificial intelligence to life for our customers creating exciting jobs for AI researchers and developers who will create solutions that will transform our world from the bottom of oceans to the depths of space and cyberspace. As an early adopter of open, creative and collaborative innovation model, Thales is building the Centre of Research and Technology in Artificial Intelligence eXpertise (cortAIx). Led by Thales, cortAIx, in collaboration with the MILA (Artificial Intelligence Institute of Quebec), the IVADO (Institute of Data Valorization) and the Vector Institute of Toronto, is located in Montreal’s famous Little Italy, in the heart of Montreal’s innovation community.

Job Purpose:

Guavus, a Thales company, is seeking a Senior Machine Learning Engineer This is an exciting, technical role based in our Montreal office. It is focused on enabling our customers to create real, practical value through advanced analytics on their streaming data. Our customers – primarily large telecom service providers – use Guavus’ analytics to increase revenues or reduce costs by better network optimization, customer experience optimization, churn management, marketing, etc.

Key Job Functions:

As a Senior ML engineer, you will lead development on our model training and evaluation infrastructure. You will work closely with data scientists to experiment on model architectures and take them to production. You’ll build, maintain, and improve data processing pipelines that process billions of data points and petabytes of data. You’ll work in an interdisciplinary team composed of data scientists, network domain experts, product managers and software engineers to help solve hard problems which improve the intelligence of operation and customer care.

Key Requirements:

  • Bachelor’s in computer science or equivalent
  • 5 years’ software development experience
  • 2+ years' experience running medium to large/complex projects with multiple internal/external dependencies
  • Expertise in working with at least one machine learning or deep learning framework, such as Pandas, Sklearn, TensorFlow
  • Experienced in working with ETL pipelines
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Strong analytical and problem-solving skills
  • Ability to understand and execute on the company’s mission and values
  • Maintain a high degree of ethical standard and trustworthiness

Thales est un employeur offrant l’égalité des chances qui valorise la diversité et l’inclusion sur le lieu de travail. Thales s’engage à mettre en place des mesures d’adaptation tout au long du processus de recrutement. Les candidats sélectionnés pour une entrevue et ayant besoin de mesures d’adaptation sont priés de le faire savoir lors de l’invitation à l’entrevue; notre équipe travaillera volontiers avec chaque candidat pour répondre à ses besoins particuliers. Tous les renseignements relatifs aux mesures d’adaptation seront traités d’une manière confidentielle et utilisés uniquement dans le but d’offrir une expérience candidat adaptée.

Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

*** Mention DataYoshi when applying ***

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