Data Engineer AI and MLOps

BMO•Chicago, IL

1d•$69,000 - $127,800

About The Position

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed.

Requirements

Foundational level of proficiency: Deep learning.
Foundational level of proficiency: Machine learning.
Foundational level of proficiency: Trust, bias and ethics.
Foundational level of proficiency: Creative thinking.
Foundational level of proficiency: Critical thinking.
Intermediate level of proficiency: Mathematics, statistics & operations research.
Intermediate level of proficiency: Big data.
Intermediate level of proficiency: Data visualization.
Intermediate level of proficiency: Computational thinking and programming.
Intermediate level of proficiency: Data wrangling.
Intermediate level of proficiency: Data preprocessing.
Intermediate level of proficiency: Complex problem solving.
Intermediate level of proficiency: Analytical acumen.
Intermediate level of proficiency: Creative reasoning.
Intermediate level of proficiency: Verbal & written communication skills.
Intermediate level of proficiency: Collaboration & team skills.
Intermediate level of proficiency: Analytical and problem solving skills.
Intermediate level of proficiency: Influence skills.
Intermediate level of proficiency: Data driven decision making.
Technical proficiency gained through education and/or business experience.

Responsibilities

Mine and analyze large sets of structured and unstructured data to obtain insights using advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence).
Design and construct new processes for modeling data.
Develop predictive models and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
Collaborate with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
Play an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
Use data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conduct large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Use analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
Develop prediction systems and machine learning algorithms.
Investigate additional technologies and tools for developing innovative data solutions for business stakeholders.
Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.

Benefits

BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

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