Machine Learning Engineer

Accertify, Inc.; Burlington; Hybrid; CAD 125,000 - 140,000; Full time

Job summary

A leading technology solutions provider is seeking a Machine Learning Engineer to enhance ML model monitoring and optimize data pipelines. This mid-senior level role requires 4+ years of software engineering experience, strong SQL skills, and familiarity with deploying ML models. The position offers a salary range of $125,000.00 - $140,000.00, comprehensive benefits, and opportunities for career growth. Remote and hybrid options available.

Benefits

Health & Wellness coverage

Paid time off

Competitive compensation

Training programs

Mental health resources

Flexible work arrangements

Commuter benefits

Qualifications

• 4+ years of software engineering experience in an enterprise setting.
• Strong SQL skills, such as JDBC/Oracle or PostgreSQL.
• Experience in deploying ML models in production.
• Familiarity with MLOps.
• 2+ years of experience in Spark and/or NoSQL databases.
• Experience in Python and Spark (PySpark).

Responsibilities

• Own and develop the existing ML model monitoring codebase.
• Collaborate with teams to optimize data pipelines.
• Design, develop, test, and maintain ML pipelines.
• Present results to stakeholders as needed.
• Mentor and elevate team performance.

Skills

Software engineering experience

Relational database skills in SQL

Experience in deploying ML models

Experience with a larger ML/Engineering team

Experience in Spark and/or NoSQL

Python and Spark (PySpark)

Education

Bachelor's degree in computer science

Tools

SQL databases

Spark

MLOps

Job description

Overview

Machine Learning Engineer role at Accertify, Inc.

This range is provided by Accertify, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

125,000.00 / yr - $140,000.00 / yr

Company overview

Trusted by many of the largest companies globally, Accertify is the leading digital platform assessing risk across the entire customer journey, from Account Monitoring and Payment Risk to Refund Fraud and Dispute Management. Accertify helps maximize revenues and user experience while minimizing loss and customer friction. We offer ultra-fast decision-making and precise control, ensuring our customers are always confidently in the driver’s seat and ready to #MoveAtTheSpeedOfRight.

Be in the driver’s seat of your career as a Machine Learning Engineer with the industry leader—and build a career you can trust.

Responsibilities

• Own and develop the existing ML model monitoring and reporting codebase, aligning with the existing MLOps framework
• Collaborate with cross-functional teams to optimize data pipelines through data validation, data profiling, data versioning, and model monitoring
• Design, develop, test, deploy, and maintain scalable, secure software for batch and real-time ML pipelines in a high-throughput and low-latency production environment
• Demonstrate subject matter expertise and ownership for your team’s services
• Present results to stakeholders and executives as needed
• Collaborate with the Data Science, Big Data, and DevOps teams
• Elevate team performance through mentoring, training, code reviews, and unit testing
• Take ownership of initiatives, propose solutions, and be accountable for projects from inception to completion

Qualifications

• 4+ years of software engineering experience in an enterprise setting
• Strong relational database skills in SQL, such as JDBC / Oracle or PostgreSQL
• Experience in deploying ML models in production and familiarity with MLOps
• Experience working with a larger ML / Engineering team, documenting code, performing peer code reviews, writing unit tests, and following an SDLC
• 2+ years of experience in Spark and / or NoSQL databases
• Experience in Python and Spark (PySpark)
• Bachelor\'s degree in computer science or equivalent

Preferred qualifications

• High-volume transactional environment experience
• Big Data components / frameworks, such as HDFS and Spark 3.0, etc
• Understanding statistics and machine learning concepts such as traditional ML algorithms, Generative ML algorithms, Concept drift and decay, A / B Testing, etc.

Additional details

• Potential salary range : $125-140K. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from Accertify\'s headquarters in Itasca, IL.
• Visa Sponsorship : Employment eligibility to work for Accertify in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position.

Benefits

• Health & Wellness : Medical, dental, and vision coverage for you and your family.
• Time Off : Paid time off, holidays, and personal days to maintain work-life balance.
• Financial Growth : Competitive compensation, performance-based rewards, and local retirement or savings plans where applicable.
• Career Development : Training programs, mentorship opportunities, and growth potential within the company.
• Wellness Support : Mental health resources and wellness programs.
• Family-Friendly Perks : Parental leave, flexible work arrangements.
• Extras & Perks : Commuter benefits, employee discounts, and company-sponsored events.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Locations

Greater Toronto Area, Canada; Mississauga, Ontario, Canada

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