Machine Learning Specialist

3 months ago

Montréal QC, Canada Bounteous Full time

Bounteous x Accolite makes the future faster for the world's most ambitious brands. Our services span Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. We are guided by Co-Innovation, our proven methodology of collaborative partnership.

Bounteous x Accolite brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.
- This is a hybrid (on-site 3 days/week) role based in Montreal, Quebec._

**Role and 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.
- Strong Data analysis, processing, discovery skills.

**Qualifications**:

- Master’s 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 explain ability (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 AI.
- 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.

**Preferred Qualifications**:

- Modelling using vendor products such as: Microsoft AI Builder (Power Platform) and CO Pilot.
- Familiar with Azure and AWS framework
- Experience with non-English Natural Language Processing.
- ML Libraries H2O, Keras, Tensorflow
- Experience with Deep Learning
- Banking / Financial Services experience is a plus.

We invite you to stay connected with us by subscribing to our monthly job openings alert here.

Bounteous x Accolite is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous x Accolite. Bounteous x Accolite does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.

In addition, you have the opportunity to participate in several Team Member Networks, sometimes referred to as employee resource groups (ERGs), that host space with individuals with shared identities, interests, and passions. Our Team Member Networks celebrate communities of color, life as a working parent or caregiver, the 2SLGBTQIA+ community, wellbeing, and more. Regardless of your respective identity, there are various avenues we involve team members in the Bounteous x Accolite community.
- For employment opportunities based in Canada:_
- **Must be legally eligible to work in Canada._

**#LI-Remote

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