Senior AI/ML Engineer

7 minutes ago

Montreal, Quebec, Canada PRAGMATIKE Full time

Location: Canada
Start date: ASAP
Languages: English (required)

About the Role

Pragmatike is hiring on behalf of a confidential client for a Senior AI/ML Engineer role on a high-impact AI project.

This is a production-focused position for engineers who build real AI systems, not research prototypes or demo applications. You will work across the full AI lifecycle — from data and modeling to deployment, monitoring, and continuous improvement — contributing to scalable, real-world machine learning solutions.

You will collaborate with engineering, data, and product teams to design and operate AI systems that are reliable, production-grade, and built for real users and real scale.

This role is ideal for someone with strong hands-on experience in applied AI and machine learning engineering, who is comfortable operating in fast-moving environments and owning systems end-to-end.

What Youll Do

  • Design, build, and deploy machine learning models into production environments

  • Develop end-to-end ML pipelines (data ingestion, training, deployment, monitoring)

  • Work with real-world, large-scale, and unstructured datasets

  • Build reliable and scalable AI systems

  • Collaborate with cross-functional teams to integrate AI into production platforms

  • Improve model performance, reliability, and operational stability

  • Contribute to ML infrastructure, automation, and best practices

  • Support continuous improvement of AI systems in production

What Were Looking For

  • Senior-level experience in AI/ML engineering

  • Strong hands-on background in building and deploying production ML systems

  • Experience across the full ML lifecycle

  • Strong programming skills in Python

  • Experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn

  • Familiarity with data processing tools such as Pandas, NumPy, Spark

  • Experience with cloud platforms (AWS, GCP, or Azure)

  • Exposure to containerization and orchestration (Docker, Kubernetes)

  • Understanding of model deployment, monitoring, and reliability in production

  • Experience with CI/CD and automation in engineering environments

  • Ability to work in real-world, non-academic AI environments

  • Strong collaboration and communication skills

What We Offer

  • This is an early-stage environment where you will wear multiple hats and have strong ownership

  • You will be building processes, not following existing ones

  • We ship real production systems where engineering rigor and model performance both matter

  • 100% Remote role

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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