Engineering Manager, Data and ML - (Remote - Canada)

Engineering Manager, Data and ML - (Remote - Canada)

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About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an Engineering Manager, Data and ML in Canada. In this role, you will lead a team of talented engineers working on advanced data and machine learning solutions. You will oversee the entire development lifecycle, from solution design to implementation and deployment, while providing mentorship and fostering a high-performance culture. Your deep technical expertise, especially in event-driven data pipelines and machine learning, will be essential in ensuring the successful delivery of key business objectives and contributing to the advancement of scientific research.

Accountabilities:

• Lead and manage a team of engineers in the design, development, and deployment of data and machine learning solutions
• Oversee the full software development lifecycle, including discovery, design, implementation, and deployment of cutting-edge systems
• Foster a high-performance culture within the team, providing mentorship and guidance to ensure continuous skill development
• Ensure the successful delivery of business objectives, with an emphasis on delivering solutions that meet the needs of scientific researchers
• Collaborate cross-functionally with teams to ensure smooth integration of data solutions and machine learning models
• Navigate ambiguity and adapt to change, taking both hands-on and strategic leadership roles as needed

Requirements:

• 4+ years of experience as a professional developer and 2+ years of experience as an engineering team manager
• Proven track record in hiring, building, and motivating engineering teams
• Strong expertise in Python and programming fundamentals
• Experience working with data solutions incorporating both online and batch ML inference
• Expertise in data engineering and machine learning design patterns and best practices
• Experience deploying machine learning models into distributed, data-intensive production systems
• Strong communication and collaboration skills to work effectively across teams
• Experience working in a Cloud-native environment (Azure, GCP, or AWS)

Benefits:

• Remote-first culture offering flexibility and work-life balance
• Competitive compensation package including equity options
• Generous vacation policy with an additional vacation day added every year
• 14 company closure days annually
• Flex time for sick days, personal days, and religious holidays
• Comprehensive health and dental benefits for you and your family
• Annual learning and development budget to support continuous growth
• One-time home office setup budget upon joining
• Annual lifestyle spending account allowance
• Generous parental leave benefits with a top-up plan or paid time off options
• 401(k) with company match to support your retirement savings

Jobgether hiring process disclaimer: This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates. Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered. Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

• If you are among the top 5 candidates, you will be notified within 7 days
• If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Non-profit Organizations and Primary and Secondary Education

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