Senior Machine Learning Engineer

Bits In Glass; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading professional services firm in Canada is seeking an experienced AI/ML Engineer to design and implement scalable AI/ML solutions. The ideal candidate will have a strong background in machine learning engineering, with over 5 years of experience focusing on production systems. This remote role offers flexibility and requires occasional travel within Canada and the US. The firm emphasizes a competitive compensation package, including a bonus, healthcare benefits, and a professional development budget.

Benefits

Annual bonus

Healthcare benefits

Professional development budget

Qualifications

• 5+ years of experience in machine learning engineering or applied AI.
• Strong understanding of the Software Development Lifecycle and Agile delivery.
• Experience with enterprise data pipelines and large-scale datasets.

Responsibilities

• Build AI/ML models using accepted best practices.
• Design and build scalable AI/ML solutions.
• Manage the end-to-end ML lifecycle, including deployment.

Skills

Machine learning engineering

Production systems

Python

PyTorch

Scikit-learn

MLOps

Enterprise data pipelines

Cloud environments (Azure, AWS, GCP)

Education

BS, MS or PhD in Computer Science, Mathematics, Physics, Engineering or related

Tools

Databricks

Job description

Overview

Do you want to work for an award-winning professional services company? Bits In Glass was voted Canada’s Great Place to Work for three years in a row and the Denver Business Journal Best Places to Work for two years in a row. Bits In Glass has also won numerous Partner of the Year awards from the vendors we partner with. Bits In Glass, or “BIG,” is a great place for energetic IT Professionals to work and grow. As a high-growth firm, we have ample opportunities for advancement, and our company culture is based on getting the job done while having fun!

Responsibilities

• Build AI/ML models using accepted best practices
• Design and build scalable AI/ML solutions, including ML services, agentic workflows, and intelligent automation components
• Develop and deploy production-ready AI systems, ensuring reliability, performance, security, and maintainability.
• Manage the end-to-end ML lifecycle, including experimentation, model training, evaluation, versioning, and deployment
• Define and implement strategies to move AI initiatives from proof-of-concept to production at scale.
• Establishing success metrics, benchmarks, and evaluation frameworks to measure business and technical impact.
• Partner with stakeholders to create roadmaps for AI adoption, balancing quality and governance
• Collaborate with engineering teams on data acquisition pipelines, data migration strategies, and feature engineering.
• Work with cloud and platform teams to ensure AI solutions integrate seamlessly with enterprise infrastructure.
• Partner with process automation teams (e.g., RPA, workflow orchestration, low-code platforms) to embed AI into business processes.
• Design AI-powered automation solutions that enhance decision-making, efficiency, and scalability.
• Translate business requirements into technical solutions that align with automation and enterprise architecture standards.
• Stay current with the latest advancements in AI/ML and generative AI, and evaluate their applicability to client use cases.
• Transform emerging techniques into practical, value-driven solutions.
• Contribute to internal accelerators, reusable assets, and technical standards within the consulting practice.

Qualifications

• BS, MS or PhD in Computer Science, Mathematics, Physics, Engineering or related
• 5+ years of experience in development of machine learning engineering, applied AI, or data engineering, with a strong focus on production systems.
• Strong understanding of the Software Development Lifecycle (SDLC) and Agile delivery for customers, with a consulting mindset.
• Extensive knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
• Proven experience with MLOps practices, including model deployment, monitoring, and lifecycle management.
• Experience working with enterprise data pipelines and large-scale datasets.
• Eager to research and learn new topics and technologies
• Experience with hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites

Preferred Qualifications

• Experience with LLMs, agentic systems, and generative AI applications.
• Experience in a consulting or client-facing environment.
• Experience working within Databricks

***This is a remote role which may occasionally require up to 20% travel within Canada and the United States.

BIG offers a competitive total compensation plan, including an annual bonus, healthcare benefits and a professional development budget.

Bits In Glass (BIG) is a fast-growing global cloud consulting firm with a presence across the US, Canada, the UK, and India. Our team of passionate technology experts partners with organizations of all sizes to modernize, automate, and transform their businesses using cutting-edge platforms such as Appian, MuleSoft, Pega, Creatio, Boomi, and Databricks. At BIG, we focus on delivering real business impact through innovation, collaboration, and the smart use of technology.