Job Opportunities Machine Learning Operations Engineer
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Job ID:9646
Employment Type: Existing Role
Working Business Language: English.
Salary: At Wawanesa salary is only one component of a holistic comprehensive and competitive offering that we provide to our addition to salary full-time and part-time permanent employees are eligible for an annual bonus plan leave of absence top-up programs and provided with generous vacation time personal days premium free benefits and pension plan.
The salary offered for this role is determined with consideration to various factors including but not limited to: your work location local labour market conditions external market salary data internal pay equity and the knowledge skills experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $110000 - $140000. Candidates with salary expectations outside of the range are still encouraged to apply.
About Us
At Wawanesa we offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote may work from any of the following locations: Winnipeg MB; Calgary AB; Toronto (North York) ON.
The Wawanesa Mutual Insurance Company (Wawanesa Mutual) founded in 1896 is one of Canadas largest mutual insurers with over $3.5 billion in annual revenue and assets of $10 billion (CAD). Wawanesa Mutual with its National Headquarters in Winnipeg is the parent company of Wawanesa Life which provides life insurance products and services throughout Canada and Western Financial Group which distributes personal and business insurance across Canada. Wawanesa proudly serves more than 1.7 million members in Canada and we are home to more than 3300 employees distributed across the Canadian regions and communities where we operate. We give back to organizations that strengthen communities donating more than $3.5 million annually to charitable organizations including over $2 million annually in support of people on the front lines of climate change. We are also proud to be recognized as one of Manitobas Top Employers. To learn more visit .
We are currently looking for dedicated driven and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.
Job Overview
The Machine Learning Operations Engineer is responsible for development deployment and monitoring of machine learning models. The engineer works closely with Data Analysts ML Engineers in Analytics Exploration and collaborates with Software and Data Engineers to ensure infrastructure and data pipelines are structured to deploy machine learning solutions.
Job Responsibilities
- Understands and translates business and functional needs into machine learning problem statements.
- Translates complex machine learning problem statements into specific deliverables and requirements.
- Assess and improve algorithms feature sets and validation metrics received from Data Analysts and ML Engineers in Analytics Exploration team to ensure their efficacy for specific problems; modify and retrain models as needed for deployment.
- Convert exploration teams code into robust production-level solutions including CI/CD pipeline integration and infrastructure setup for training and monitoring to meet enterprise requirements.
- Oversee the ongoing enhancement and maintenance of our model agnostic MLOps infrastructure and Python package ensuring high standards of performance and reliability.
- Collaborates with development teams to test and deploy machine learning models.
- Creates metrics to continuously evaluate the performance of machine learning solutions.
- Ensures adherence to performance standards and compliance to data security and model governance requirements.
- Keeps abreast with new tools algorithms and techniques in machine learning and works to implement them in the organization.
Qualifications
- More than four years of experience in developing and deploying enterprise-scale machine learning solutions.
- A bachelors degree in software engineering data science or computer science or a related quantitative field or equivalent work experience is required. An advanced degree in a related quantitative field is preferred.
- Understanding of probability and statistical models.
- Proficiency in machine learning algorithms.
- Experience in code reproducibility and version control.
- Strong programming skills with Python and SQL.
- Proficiency with Linux Bash and Docker.
- Proficiency with AWS machine learning technology stack or equivalent.
- Proficiency with CI/CD and Infrastructure as Code.
- Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner.
- Ability to collaborate effectively across multiple teams and stakeholders including analytics teams development teams and operations.
- Required to be highly creative and collaborative.
- Has good judgment a sense of urgency.
- Previous experience with AWS and Power BI is considered an asset.
#LI-JB3 #LI-Hybrid
Diversity Equity Inclusion& Belonging
At Wawanesa we are committed to Diversity Equity Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people this is supported by having a representative workforce.
We welcome applications from all qualified candidates including racialized persons women Indigenous Peoples persons with disabilities members of the 2SLGBTQIA community gender-diverse and neurodiverse individuals and anyone who can contribute to the further diversification of thought and ideas.
We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process please reach out in confidence to .
All Wawanesa job applicants are subject to Wawanesas .
Please note that the recruitment process for this position may involve the use of AI tools to screen assess or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.
Required Experience:
IC
Key Skills
- Change Management
- Software Deployment
- Cloud Infrastructure
- High Availability
- IaaS
- Firewall
- Linux
- Middleware
- Jboss
- Network Architecture
- Scripting
- Technical Support
About Company
Wawanesa Insurance offers affordable rates for homeowners, home, renters, car insurance and more in the U.S. Get a free insurance quote online to see how much you can start saving!
