Senior ML Engineer: AI for Clinicians & Patients (Hybrid/Remote)

Fullscript; Calgary; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading health technology company in Calgary is seeking a Senior Machine Learning Engineer to join their AI team. In this role, you will develop and implement innovative AI capabilities, creating LLM-powered features that enhance clinician services and patient health outcomes. You will work on deploying backend services, collaborate with cross-functional teams, and stay current with the latest AI research. This position offers competitive pay, flexible PTO, and opportunities for continuous learning in a hybrid work environment.

Benefits

Flexible PTO

Competitive pay

RRSP matching

Customizable benefits

Fullscript discounts

Continuous learning opportunities

Qualifications

• 3+ years of experience building and implementing LLM applications.
• Deep understanding of data engineering best practices, including version control and CI/CD methodologies.
• Ability to communicate complex technical concepts to technical and non-technical stakeholders.

Responsibilities

• Develop and deploy LLM-powered features, including conversational agents.
• Build backend services in Python that integrate ML/LLM models.
• Collaborate with medical and product teams to deliver AI features.

Skills

Experience with LLM applications

Proficiency in Python

Knowledge of data engineering best practices

Strong communication skills

Familiarity with AI frameworks

Tools

LangChain

Hugging Face tools

Snowflake Snowpark

Graph databases (Neo4j)

Job description

A leading health technology company in Calgary is seeking a Senior Machine Learning Engineer to join their AI team. In this role, you will develop and implement innovative AI capabilities, creating LLM-powered features that enhance clinician services and patient health outcomes. You will work on deploying backend services, collaborate with cross-functional teams, and stay current with the latest AI research. This position offers competitive pay, flexible PTO, and opportunities for continuous learning in a hybrid work environment.