We are a team of technology priests, headquartered in Toronto, ON operating across 2 continents, who preach the power of technology to make a meaningful difference in our customers' ecosystem. We are a powerhouse of technology enthusiasts who believe that business value chains can be improved with the help of technology solutions. Our primary focus is on app-enabling emerging technologies.

We are looking for experienced software professionals to manage, develop, and lead the engineering of diverse applications. He/She would be a strong engineering/product leader who drives excellence in all aspects of engineering disciplines such as design, development, analytics, and quality assurance.

Roles and Responsibilities:

• Develop predictive models using supervised and unsupervised machine learning/deep learning
• Build robust, efficient, and real-time algorithms for Predictive Analysis and Classification using state-of-art techniques from Natural Language Processing, Image Processing, Pattern Recognition, Computer Vision and Signal Processing
• Develop Signal Processing algorithms to estimate and predict variables
• Provide expertise in data wrangling, exploratory data analysis, and feature engineering with large data sets
• Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
• A self-starter who can align the technology solution with a business goal

Desired Candidate Profile:

• Bachelor's degree or higher in Electronics and Tele-Communication Engineering, Computer Science, Mathematics, Data Science, or related discipline
• Design, Build and maintain efficient, reliable, and reusable codes
• Excellent knowledge of Python Fundamentals and Applications
• Hands-on experience in developing and implementing Machine Learning frameworks like TensorFlow, Keras, PyTorch, and libraries like Scikit-learn, etc
• 2 years of experience in Signal Processing
• Experience with time-series data analysis and time series algorithm development
• Knowledge and understanding of Discrete Wavelet Transformation and Empirical Mode Decomposition
• Knowledge of Deep Lear