AI Summary
We are hiring a Senior AI/ML Engineer to design, build, and deploy machine learning models into production environments. The ideal candidate has strong hands-on experience in applied AI and machine learning engineering. This is a production-focused position for engineers who build real AI systems.
Key Highlights
Design, build, and deploy machine learning models
Collaborate with cross-functional teams
Improve model performance, reliability, and operational stability
Key Responsibilities
Design, build, and deploy machine learning models into production environments
Develop end-to-end ML pipelines
Work with real-world, large-scale, and unstructured datasets
Technical Skills Required
Benefits & Perks
100% Remote role
Early-stage environment with strong ownership
Job Description
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
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
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