drjobs Machine Learning Engineer

Machine Learning Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Chicago, IL - USA

Monthly Salary drjobs

$ 88800 - 165600

Vacancy

1 Vacancy

Job Description

Application Deadline:

08/05/2025

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

This role has a hybrid work model. It requires 4 days a week in the office.

We are seeking a Data Scientist with expertise in AI / GenAI combined with a strong foundation in MLOps. This role supports the development and operationalization of AI solutions across multiple initiatives in BMO corporate audit in collaboration with enterprise T&O and Data Science functions. Youll work closely with data scientists engineers and cloud teams to ensure AI solutions are scalable secure and production-ready.

Key Responsibilities

  • Design build and deploy both traditional ML models and GenAI solutions aligned with business needs.

  • Collaborate with engineering and cloud teams to implement MLOps best practices for model deployment monitoring and retraining as well as GenAI solutions.

  • Enhance data pipelines to ensure clean accurate and production-ready data for training and inference.

  • Conduct experiments and evaluate model performance to inform improvements mitigate drift and ensure continued relevance in production.

  • Collaborate across environments to align infrastructure streamline development workflows and support scalable model deployment.

  • Support governance and compliance processes including documentation and review and approval processes.

  • Contribute to reusable tools and frameworks that accelerate experimentation and deployment across projects.

Qualifications

  • 35 years of experience in machine learning including experience with traditional ML language models (e.g. BERT) and GenAI/LLMs.

  • Proficiency in Python and ML libraries (e.g. scikit-learn XGBoost spacy LangChain fastapi flask).

  • Experience with MLOps tools and practices (e.g. AWS - SageMaker BedRock Jumpstart Azure AI Foundry OpenAI service MLflow CI/CD containerization).

  • Strong understanding of statistics model evaluation and data engineering fundamentals.

  • Excellent communication and collaboration skills across technical and non-technical teams.

  • Strong investigative research skills to systematically explore analyze and synthesize information for insight generation and decision support.

Why Join Us

  • Be part of a high-impact initiative advancing the future of AI in audit and compliancewhere rapid iteration and document-rich environments drive meaningful innovation.

  • Work with cutting-edge GenAI technologies in a collaborative fast-paced environment.

  • Help define and scale MLOps practices in a federated modelwithout being siloed in a dedicated MLOps team.

Researches builds and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean accurate and optimized for machine learning models. Monitors evaluates and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize refine automate and scale analysis into repeatable analytics solutions and decision support tools.

  • Designs and develops machine learning (ML) and deep learning systems.
  • Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
  • Solves complex problems with multi-layered data sets extends existing ML frameworks and optimizes existing machine learning libraries.
  • Develops Machine Learning apps implements algorithms and builds tools to apply ML frameworks.
  • Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Develops ML algorithms to analyze huge volumes of historical data to make predictions.
  • Runs tests performs statistical analysis and interprets test results.
  • Focus is primarily on business/group within BMO; may have broader enterprise-wide focus.
  • Provides specialized consulting analytical and technical support.
  • Exercises judgment to identify diagnose and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.

Qualifications:

Foundational level of proficiency:

  • Systems Thinking.

Intermediate level of proficiency:

  • Mathematics Statistics & Operations Research.
  • Critical thinking.
  • Creative reasoning.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.

Advanced level of proficiency:

  • Computational Thinking and Programming.
  • Deep Learning.
  • Machine Learning.
  • Scaling Models.
  • Continuous Integration and Continuous Delivery/Deployment.
  • ML algorithm.
  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary:

$88800.00 - $165600.00

Pay Type:

Salaried

The above represents BMO Financial Groups pay range and type.

Salaries will vary based on factors such as location skills experience education and qualifications for the role and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles the salary listed above represents BMO Financial Groups expected target for the first year in this position.

BMO Financial Groups total compensation package will vary based on the pay type of the position and may include performance-based incentives discretionary bonuses as well as other perks and rewards. BMO also offers health insurance tuition reimbursement accident and life insurance and retirement savings plans. To view more details of our benefits please visit: Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting positive change for our customers our communities and our people. By working together innovating and pushing boundaries we transform lives and businesses and power economic growth around the world.

As a member of the BMO team you are valued respected and heard and you have more ways to grow and make an impact. We strive to help you make an impact from day one for yourself and our customers. Well support you with the tools and resources you need to reach new milestones as you help our customers reach theirs. From in-depth training and coaching to manager support and network-building opportunities well help you gain valuable experience and broaden your skillset.

To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other legally protected characteristics. We also consider applicants with criminal histories consistent with applicable federal state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process please send an e-mail to and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO directly or indirectly will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid written and fully executed agency agreement contract for service to submit resumes.

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.