Job Description

:

Posting Closes On: January 30, 2024 end of day

Compensation: $95,828 to $119,786 per annum (dependent on experience)

Additional Information: This role is "remote first", allowing the successful candidate to work from home anywhere in Canada.

Servus Credit Union is Alberta\'s largest member-owned credit union, known for building strong, resilient communities by helping our members feel good about their money. One of Canada\'s Best Managed Companies for 20 consecutive years and ranked as one of the top banks in Canada on Forbes World\'s Best Banks list for two years in a row, we are a team of smart, gutsy, and driven individuals.

Join Our Team!

Servus is embarking on an ambitious growth strategy and investing significantly in enabling data to be one of the key drivers in achieving success. We are looking for a skilled and enthusiastic Machine Learning Engineering Specialist with extensive experience leading an ML Flow methodology, managing, deploying, and generating iterative feedback on machine learning models. If you are passionate about data, are innovative, have strong leadership skills, and want to be an integral contributor and influencer in a growing team, we want to hear from you.

The Machine Learning Engineering Specialist collaborates directly with the Data Science and Data Engineering teams to design, build, maintain and iterate machine learning models, algorithms, and systems. This role, in collaboration with the Data Science team, will also work closely with business stakeholders to understand business problems, determine project objectives and KPI\'s, gather data, design, and implement machine learning solutions.

Requirements:

Typical responsibilities for this role include:

• Providing vision and best practice leadership in the management, deployment, and iteration of machine learning models
• Enable effective data pre-processing: collecting, cleansing, and preparing data for analysis and modeling.
• Collaborate closely with the Data Science team on model development: developing, testing, and refining machine learning models and algorithms for different business use cases.
• Algorithm optimization: Analyzing and fine-tuning algorithms to ensure optimal performance and accuracy.
• Deployment: Integrating machine learning models into production environments and monitoring their performance.
• Evaluation: Evaluating the performance of machine learning models and making recommendations for improvements as well as supporting the development of performance reporting for various key audiences.
• Collaboration: Collaborating with data scientists, software engineers, and business stakeholders to ensure that machine learning solutions meet business needs.
• Research: Keeping up to date with the latest developments in machine learning research and incorporating new techniques and tools into existing systems.
• Communication: Communicating complex technical concepts and findings to non-technical stakeholders.

Educational Requirements:

• A Machine Learning Engineering Specialist typically holds a master\'s degree or above in computer science, statistics, mathematics, or a related field. In addition, they may have industry certifications such as Certified Machine Learning Engineer (CMLE) or Certified Data Scientist (CDS).

Required experience and skills:

• Demonstrated strong skills and experience working within a Databricks ecosystem
• Experience with Git and CI/CD tools and methodology
• Experience and skills using SQL
• Strong knowledge and skills associated with the ML lifecycle and related tools (e.g. ML Flow)
• Proven leadership and experience following best practices for ML Ops activities such as:
• Experiment tracking
• Model Registry
• Scheduling of ML pipelines
• Production drift monitoring and alerting
• Optimization of cloud compute resources

• Strong programming skills in languages such as Python, Java, or R.
• Expertise in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with big data processing tools such as Hadoop, Spark, or Kafka
• Understanding of software development principles and practices, including version control, testing, and deployment
• Strong mathematical skills and understanding of statistics and probability.
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills

Benefits:

By creating a healthy and inclusive work environment and providing employees with the tools and supports they need, we help our employees achieve their potential. Servus is committed to providing a great place to work, and we invest in our employees!

Here are some of the benefits that our employees love:

• Financial benefits available immediately (reduced Loan and Credit Card rates, etc.)
• Matched Retirement Savings program (Servus matches what you contribute)
• Annual flexible spending account to purchase additional health or personal wellness items
• More than Alberta standard vacation time to start and vacation purchase program for those years when you need more time off
• Incentive pay program
• Full package of health and wellness benefits

As Servus, our employees are also members. This means you\'ll have all the benefits of being a member of the credit union including profit sharing, voting for the board of directors, and all of the services we provide \xe2\x80\xa6 with a few additional perks!

Additionally, Servus has introduced a new flexible hybrid work model which consists of a combination of working in the office and working remotely. The hybrid approach provides employees with more flexibility, while still allowing employees to connect in person and remotely and building upon the culture that makes Servus such a great place to work. This position has the option of working fully remote however period attendance in the office will be required.

Imagine working for an organization that values diversity and inclusivity, and where everyone collaborates for your success. If you want to join a team of community leaders passionate about making an impact, apply now!

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Servus Credit Union