Machine Learning Engineer

Found in: beBee jobs CA - 2 weeks ago

Toronto, Ontario, Canada APPTOZA INC. Full time

Job Title: Machine Learning Engineer
Location: Toronto, ON
Duration: Long Term Contract

Job Description:

We are looking for a machine learning and natural language processing specialist to explore, design and develop new Machine Learning solutions for a Firm-wide user base leveraging many tools. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching, building, and maintaining data science models at scale in an enterprise environment The position requires good communication skills, ability to work together in cross-functional technical teams in different areas of the organization.

Key Responsibilities:
Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
Technical analysis and software development
Design and implement business solution in agile squads
Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability
Develop, maintain and track detailed delivery plans

Skills Required:
Masters in mathematics, Statistics, Economics, Data Science, Machine Learning, Operational Research, Physics, and other related quantitative fields.
At least 4 years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.
Strong understanding of the foundational concepts and applied experience in Machine Learning and model explainability (ideally, a combination of excellent academic research and high-impact commercial projects).
In depth understanding of common Machine Learning algorithms (e.g for classification, regression, and clustering).
Experience with LLM models and Open Al.
In depth knowledge of advanced statistical theories, methodologies, and inference tools
Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference.
Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
Strong oral and written communication skills.
Strong analytical and problem-solving skills.

Skills Desired
Modeling using vendor products such as: Microsoft Al Builder (Power Platform) and CO Pilot.
Familiar with Azure and AWS framework
Experience with non-English Natural Language Processing.
ML Libraries H2O, Ka le.psyifttgw,
Experience with Deep Learning
Banking / Financial Services experience is a plus.

Job Types: Full-time, Fixed term contract

Experience:
Machine learning: 1 year (preferred)

Work Location: In person

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