Principal/Senior AI Specialist
1 month ago
As a Principal/Senior AI Specialist focused on AI-based machine vision solutions, you'll work closely with a team of data engineering specialist, mostly with data coming from operational technologies (OT), historians, video streams, audio streams, and industrial sensor data. You will also work with engineering and manufacturing experts in order to solve industrial operations business use cases by leveraging machine learning, deep learning and advanced analytics in general. You will be called upon to align the data available to the use of the right AI technology(ies) and select the appropriate algorithm(s) to best solve the engineering and manufacturing challenges posed collaboratively by our clients and our own Maya engineering and manufacturing experts. You will collaborate with and sometimes help architect the right data pipelines which will help create practical AI-Ops (or ML-Ops) solutions for effective decision making. As is often the case in newer engineering and manufacturing applications leveraging AI technologies, you will work in an agile fashion to build algorithms and design experiments to extract the value within the data provided. Given Maya HTT’s focus in engineering and manufacturing AI applications, good understanding of RNN and LSTM for time-series handling as well as CNN and other deep neural networks applicable to AI-based machine vision for video/image processing and related transfer learning methods would be a key asset.
What to expect as your main responsibilities:
- Collaborating with data engineering specialist to validate, merge, and obtain the right data aligned to the business use case to solve
- Defining the metrics to be tracked from a business perspective, and metrics to be optimized on the technical algorithm side
- Checking data cleanliness, random data labeling validation, and identifying dataset biases whenever relevant
- Estimating in an agile fashion the data quantity needed to reach minimum viable ML algorithm implementation as experiments proceed
- Choosing the right machine vision models and algorithms
- Applying data science techniques, such as statistical modeling, and artificial intelligence algorithms (machine learning, deep learning)
- Experimenting, building, and optimizing selected algorithms and related hyper-parameters
- Leveraging data mining to uncover interesting patterns or correlation using state-of-the-art methods
- Augmenting datasets either algorithmically or using third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building better engineering, manufacturing and industrial processes and related systems
- Interacting with data engineering specialist to ensure data processing, cleansing, and verifying the integrity of data used for the ML-Ops is reliably done and available during 24/7 operations
- Presenting and communicating AI algorithm results in a clear manner
- Collaborating with 24/7/365 ML-Ops and full-stack developer team and ensuring the tracking of ML/AI model performance overtime
- A Master degree or PhD
- Have a minium of 5 years experience in machine vision
- Excellent understanding of statistical modeling, machine learning, and deep learning techniques and algorithms, such as CNN, RNN, LSTM, DRL, GAN, Transformers, etc.
- Experience with common data science toolkits, such as NumPy, Scikit-learn, Tensorflow, Pytorch, Azure ML, NVIDIA DeepStream, etc.
- Excellent scripting and ML framework (typically python) programming skills
- Great communication skills
- Experience with data visualisation tools
- Experience with video and image data
- Good teamwork skills
- Flex Working Hours and Hybrid Work. Office downtown Montreal, 2-minute walk from Atwater Metro.
- Permanent Position and Competitive Base Salary.
- 100% Employer-Paid Benefits starting from Day One: Medical, Dental, Vision, Life, Short/Long Term disability insurances.
- Retirement Savings: Group RRSP / DPSP Plan with Employer Contributions open to join from Day One
- Career Growth Opportunities: Our flexible career paths allow you to grow, and we like to promote internally.
- Learning Opportunities: Learn from the best in the industry and develop your skills.
- Generous Time-Off Policy: We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer Flex Schedule.
- Structured Onboarding Program: We’re invested in your success; you’ll have team members to support you and provide a wide range of assistance from Day One.
- Join an award-winning company that is recognized worldwide as an industry leader.
Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.
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