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Full-time
Posted 1d ago
~40 hrs/week
Remote in Montreal, Quebec, Canada
Responsibilities
Design and develop end-to-end computer vision models and pipelines for biometrics use cases such as face detection and recognition. Optimize models for low-latency inference and mentor other ML engineers on technical best practices.
Requirements
Requires 5+ years of industry experience in Machine Learning with a focus on Computer Vision and strong proficiency in Python. Experience with AWS, GPU-based training, and orchestration tools like Airflow is essential.
Full job description
We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.
What You’ll Do
Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition
Collaborate on benchmarking of models across datasets and operating conditions
Train and optimize models using PyTorch, TensorFlow, and/or JAX
Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning.
Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS.
Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team.
What We’re Looking For
Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models)
Strong Computer Vision fundamentals
Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices
Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code
Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow
Cloud Native: Experience with GPU-based training and deploying ML services on AWS
Nice to Have
Research Publications in top computer vision venues (CVPR, ICCV, ECCV)
Large Scale Search: Familiarity with vector databases and ANN search
Synthetic Data: Experience with GANs or diffusion models for data augmentation
Familiarity with privacy, security, and compliance considerations in sensitive ML applications
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [email protected].
Jumio, the creator of Netverify® Trusted Identity as a Service, enables businesses to reduce fraud and increase customer conversions while providing a seamless customer experience. With Netverify Trusted Identity as a Service, customers have a complete identity verification solution that can be tailored to fit their specific business requirements.
With over 80 million identities Jumio uses computer vision technology, machine learning and live verification experts to verify credentials (e.g., passports, drivers licenses, etc.) issued by over 200 countries. Our technology powers businesses with scalable, secure and compliant identity verification, which enables them to build and sustain trust in an increasingly unsafe digital world.
Based in Palo Alto, California, and funded by Centana Growth Partners and Millennium Technology Value Partners, Jumio has Operational Offices in Jaipur and Udaipur. India office is an integral part of Jumio's business operations in the US, Europe, and Asia Pacific and has been the recipient of numerous awards for innovation, including this year’s Frost & Sullivan’s North American Entrepreneurial Company of the Year for the Biometric Security Solutions Industry.
Jumio is widely considered to be the largest and most accurate solution in the market and used by leading companies in the financial services, sharing economy, retail, travel, blockchain and online gaming sectors.
Offices: B-8, Hanuman Nagar-B Near –Thar Hospital, Sirsi Road, Vaishali Nagar, Jaipur, Rajasthan 302021, IN
How many Security & Safety jobs are open in Montreal, Canada right now?
There are currently 360 open security & safety positions in Montreal, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Security & Safety roles in Montreal, Canada?
Companies currently hiring include GardaWorld, Desjardins, Hélios, Sopra Steria Group, Bell Canada Enterprises, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Security & Safety jobs in Montreal, Canada?
Yes — 147 of the 360 open security & safety positions offer remote or hybrid work (26 remote, 121 hybrid).
How do I apply for Security & Safety jobs in Montreal, Canada?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.