Applied ML Scientist: Production ML & MLOps

Velan Inc.; Montreal; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Bonus program

5% employer retirement plan match

Competitive vacation policy

Holiday shutdown

Professional association fees

Annual gym membership reimbursement

On-site parking

Company events

Career growth opportunities

Job summary

Velan Inc. is seeking an Applied Machine Learning Scientist to design, deploy, and continuously improve scalable AI/ML solutions that drive business decisions, improve workflow efficiency, and automate processes across the organization.

You'll work at the intersection of data science, software engineering, and MLOps to transform prototypes into reliable production systems, monitor models for drift and fairness, and collaborate with cross-functional stakeholders to translate business needs into

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Software Engineering, Data Science, or a related technical field.
• 3 to 5 years of experience with MLOps and ML lifecycle management, including monitoring, drift detection, versioning, feature stores, and retraining.
• Strong programming proficiency in Python and R, with familiarity with Java or C++.
• Hands-on experience with PyTorch, TensorFlow, and scikit-learn.
• Solid understanding of ML fundamentals and model evaluation methods.
• Strong software engineering fundamentals and experience with SQL and large-scale data manipulation.
• Excellent communication and collaboration skills across functions.

Responsibilities

• Design, develop, and deploy machine learning models addressing high-value business problems.
• Build and maintain end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, inference, monitoring.
• Transform proofs-of-concept into production-grade scalable solutions.
• Support development of autonomous and multi-agent systems integrated with enterprise tools and APIs.
• Monitor deployed models for performance, drift, bias; retrain or recalibrate as needed.
• Partner with domain experts, engineers, and stakeholders to translate requirements into technical solutions.
• Apply software engineering best practices: version control, testing, CI/CD, containerization, orchestration.
• Contribute to ML system architecture and governance with clear documentation and reproducibility.
• Promote governance, explainability, and auditability of ML solutions.

Job description

Velan Inc. is seeking an Applied Machine Learning Scientist to design, deploy, and continuously improve scalable AI/ML solutions that drive business decisions, improve workflow efficiency, and automate processes across the organization.

You'll work at the intersection of data science, software engineering, and MLOps to transform prototypes into reliable production systems, monitor models for drift and fairness, and collaborate with cross-functional stakeholders to translate business needs into