HEALWELL AI (TSX: AIDX)
ML Engineer
HEALWELL AI (TSX: AIDX)Canada17 hours ago
Full-timeEngineering, Information Technology
There are over 7000 rare diseases identified, affecting over 300 million patients worldwide

and 1 in 12 patients in Canada. Many of these patients remain undiagnosed and unaware,

resulting in a poor quality of life and potentially serious consequences. Khure Health Inc.,

a HealWell AI company (AIDX), is a leader in AI-enabled clinical intelligence for rare

diseases and specialty conditions. Through our proprietary clinical intelligence platform

and deep analytical tools, Khure allows physicians to quickly understand complex, highrisk

patients and place them on the right care pathways leading to better outcomes for

patients, their families, and the healthcare system.

Khure is looking for a motivated and passionate Machine Learning Engineer. In this role,

you will be responsible for developing, maintaining, and optimizing various models trained

on deidentified healthcare data. You will work closely with our data science and analytics

teams to ensure data availability and quality. This is an excellent opportunity for someone

with 5+ years of experience in the field and wants to take their career in machine learning

to the next level. You will have the opportunity to enhance your technical skills while

contributing to impactful projects in the healthcare space.

Responsibilities

Under the guidance of the VP Technology, Khure, the successful candidate will:

  • Design, develop, and deploy machine learning models to solve complex business

problems

  • Build end-to-end ML pipelines using Databricks and Dagster for data processing,

feature engineering, model training, and deployment

  • Deploy and maintain cloud-based ML models in production, ensuring performance

and scalability

  • Collaborate with cross-functional teams to define problems and develop solutions
  • Develop and maintain documentation for models, processes, and systems
  • Stay current with ML/AI advancements and mentor junior team members

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3-5 years of ML engineering experience with production model deployment
  • Deep proficiency in Python
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks
  • Hands-on experience with Databricks (MLflow, Spark) and Dagster or similar

orchestration tools

  • Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native ML services
  • Knowledge of SQL databases, vector databases, data lakes, and ETL processes
  • Proficiency in the entire ML lifecycle: feature engineering, model training, CI/CD,

deployment, and monitoring

  • Strong problem-solving skills and ability to work independently and collaboratively

Preferred Qualifications

  • Knowledge of Retrieval-Augmented Generation (RAG), LangChain, or LlamaIndex
  • Experience with HL7 FHIR-based data modeling
  • ML model monitoring and observability tools

What You'll Work With

Data Platform: Databricks (Spark, Delta Lake)

Orchestration: Dagster for pipeline management and scheduling

Cloud: AWS/GCP/Azure services for compute, storage, and ML services

Languages: Python

Tools: Docker, Terraform, Git, CI/CD pipelines

Monitoring: Custom dashboards, alerting systems, and model performance tracking

Culture & Work Environment

  • Communication: We value open and honest communication. Regular check-ins

and team meetings ensure everyone is aligned and informed.

  • Transparency: Our decision-making processes are transparent, encouraging input

from all team members. Your ideas and feedback will be valued.

  • Promptness: We maintain a fast-paced work environment and expect team

members to be prompt in delivering work and meeting deadlines.

  • Guidance: You will be supported and guided by our VP of Technology, who will

provide mentorship and direction throughout your co-op experience

What We Offer

  • Hands-on experience with real-world data challenges in the medical field.
  • Opportunities to expand your technical skill set and work with advanced AI tools.
  • A collaborative team environment that fosters learning and innovation

We look forward to receiving your application and hope to welcome you to the Khure team!

Khure Health is an equal opportunity employer that welcomes all applicants including

persons with disabilities, visible minorities, women, and aboriginals. Khure Health will

provide reasonable accommodation to qualified job applicants with a disability, on

request, and will notify successful applicants of policies relating to the accommodation of

employees with disabilities. We would like to thank all applicants for your interest in Khure

Health, but please note that only successful candidates will be contacted.

You can learn more about Khure Health at www.khurehealth.ca

PI278981655

Key Skills

Ranked by relevance
Apply