Imaging Biometrics & Identity Data Scientist
SITA
Montréal, QC
Profession: Solution Development

Work Location: Americas-Canada-Montreal

Schedule:Full-time

Description

ABOUT US

Welcome to SITA... We lead one of the most exciting and advanced industries on earth. Around the world, nearly every passenger flight relies on SITA technology, almost every airport and airline does business with us, and it’s our job to support their operations. As the world's leading air transport IT and communications specialist, we’re committed to meeting the demands of the air transport industry around the clock, every day.

Our Vision: Easy air travel every step of the way

WHY SHOULD YOU BE INTERESTED?

With us there are no limits for people looking to explore the edges of possibility and beyond.

Together, we Go.Far.

Challenge: Our people take on some of the biggest challenges in our industry. They aren't afraid to think bigger, work harder and deliver smarter solutions that are continuously transforming air travel.

Opportunity: Taking on these challenges opens up a world of opportunities for our people. We make sure they have the chance to develop their skills, explore new horizons and grow their careers on a global scale.

BENEFITS IN CANADA:
Competitive medical, dental, and vision plans
RRSPs with company matching contributions
Life and disability insurance
Incentive based wellness program
Stand by Buddy Pass Travel

Note that these benefits can change and some of these benefits have ‘conditions’ and may not apply to all employees.

THE ROLE:
The future of Air Transportation Industry is being built today and AI is on the forefront. SITA is making that future more productive, more secure and more sustainable. We are harnessing the power of cloud, data science, AI, and user design thinking to deliver on the promise of intelligent data products data solutions that will help increase industry collaboration and deliver seamless passenger journey in ways that make Easy Air Travel Every Step of The Way – and together lets move the world.

You will be part of the company global Data Science & AI CoE and you will be working with stakeholders by Agile and Design Thinking Methodologies, innovating and improving ATI industry with Data Science AI Technology. Together with the CoE you will deliver everything from state-of-the-art solutions to quicker value proving solutions.

You will be responsible for developing and deployment state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions for the Air Transportation Industry, smarter passenger journey, smarter bag journey smart experience and smart enterprises in the digital solutions business of SITA. You will be solving complex industrial problems using advanced AI techniques with involvement in the designing, software engineering, productization and deployment of AI solutions

You will be a member of a talented team that delivers contemporary AI solutions for all SITA Product Business. You will be executing AI software engineering projects as we build out capabilities and our architecture

Qualifications

BASIC QUALIFICATIONS
Strong quantitative and analytical expertise that covers statistics, machine learning/deep learning/data mining, experimentation methodology
Multiple years of advanced hands-on experience in leading advanced analytics tools such as Python (SciKit Learn, TensorFlow, Keras etc) , R, SPSS, SAS or MATLAB
Proficiency in C/C++, Python Java or similar platform
Familiarity with deep learning, classical machine learning, statistics
Multiple years of hands-on experience in conducting analyses on structured / semi-structured as well as unstructured data (e.g. ETL Analysis, Data Profiling, Data Quality Analysis, Data Quality Assessment, Source Data Analysis, Source to Target mapping)
Experience with emerging large-scale Big Data analytics tools (such as the Apache Hadoop Ecosystem, Apache Spark/MLlib, Apache Mahout and the like) will be a strong advantage
Experience in advanced analytics use cases in one or more dedicated industries
Strong communication skills and business acumen, including a feeling for data visualization and experience in presenting complex information to business stakeholders in a compelling way
Familiarity with digital design, digital hardware architectures (CPU, GPU, NPU, SoC) is a plus
Configuring, coding, developing, and documenting software specifications throughout the project life cycle
Neural Networks, Deep Learning, Convolutional Networks, Recurrent Network, Machine Learning
Mapping neural networks to custom hardware
Real-time embedded software/firmware development, Linux kernel/device drivers, system level simulation and optimization
Software maintenance and source control (Subversion, Git), bug tracking (Jira, Bugzilla), and collaboration (Confluence, MoinMoin)

REQUIRED TECHNICAL AND PROFESSIONAL EXPERTISE:
MS or PhD in Computer Science or Artificial Intelligence.
Experience in natural language understanding, computer vision, machine learning, algorithmic foundations of optimization, data mining, or machine intelligence.
Strong experience in agent based intelligent control systems and reinforcement learning.
Proficiency in one or more of the following languages: C, C++, Python, Java.
Experience with implementing numerical methods and data visualization.
Strong experience in algorithm design, AI related algorithms implementation including A* search, Monte Carlo tree search, MiniMax search (Alpha Beta Pruning), Admissible Heuristics for optimal planning.
Hands-on in symbolic programming, event–based system design.
Experience in software development of multi-threaded, scalable and highly-available distributed systems.
Strong computer science fundamentals in object-oriented design, data structures, high-performance computing, algorithm design and problem solving.
Knowledge of software engineering practices and best practices for software development.
Extensive experience implementing numerical and/or machine learning algorithms.
Ability to translate abstract algorithm descriptions into software requirements, design specifications, and implementations.
Experience in developing and leveraging AI techniques, such as machine learning, NLP, knowledge induction, machine reasoning, etc.
Experience in analyzing large scale data from a variety of sources.
Experience in design, validation, and characterization of algorithms and/or systems.
Experience in design and implement high quality software for AI algorithms developed by AI Data Scientists for deployment.
Proficiency in deep learning and machine learning algorithms and deep learning frameworks such as TensorFlow, Pytorch Keras, and Caffe.
At least 3 years experience as a Development/Release Engineer
At least 3 years experience with shell scripts, Docker and Jenkins
Experience in software development of multi-threaded, scalable and highly-available distributed systems.
Strong computer science fundamentals in object-oriented design, data structures, high-performance computing, algorithm design and problem solving.
Knowledge of software engineering practices and best practices for software development.
Extensive experience implementing numerical and/or machine learning algorithms.
Ability to translate abstract algorithm descriptions into software requirements, design specifications, and implementations.
Experience in developing and leveraging AI techniques, such as machine learning,deep learning NLP, knowledge induction, machine reasoning, etc.
Experience in analyzing large scale data from a variety of sources.
Excellent communication skills

SITA is an Employment Equity Employer and values a diverse workforce. In support of our Employment Equity Program, women, Aboriginal people, members of visible minorities, and/or persons with disabilities are encouraged to apply and self-identify in the application process.

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Job Posting: Oct 8, 2019, 11:24:14 AM