Machine Learning Resident for Theragraph involved in developing solutions for health datasets. Collaborating in a cross - functional team under the mentorship of an Amii Scientist.
About the role
- Machine Learning Engineer developing scalable machine learning systems and models for hospitality solutions at Push Operations. Collaborating remotely, with opportunities to work from Vancouver office.
Responsibilities
- Design, develop and deploy scalable machine learning pipelines/systems for various problems such as sales/labour forecasting, anomaly detection
- Identify and collect relevant data sources required for our projects
- Integrate with external data and AI APIs
- Own machine learning based features end to end, from model experimentation to the end user
- Communicate results with various stakeholders and be able to describe how projects can impact our clients
- Maintain high standards in our team by performing regular code reviews
Requirements
- Masters Degree in a quantitative subject (e.g., Statistics, Data Science, Mathematics, Computer Science)
- 3+ years of experience working as part of a data science or data engineering team
- 5+ years of experience working in a software developer or adjacent role
- Strong background in data science/statistics including time series, regression/classification problems
- Curious, self motivated individual who enjoys solving complex problems and bringing value to customers
- Experience with SQL and ETL pipelines, and Data Warehouses (e.g, Snowflake, Redshift, or other)
- Expert communication skills while speaking to audiences with a range of backgrounds
- A passion for solving real-world problems with technology that makes a difference in people's lives.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior ML Engineer leading the scaling and innovation of machine learning initiatives at Wisedocs. Collaborating with other engineers to integrate the ML system into the platform for insurance tech.
Lead ML Engineer developing scalable data pipelines and ML systems for Newfold Digital. Collaborate with cross - functional teams using Python, SQL, and cloud ML platforms in an applied ML environment.
Senior Machine Learning Engineer designing and optimizing ML/AI systems for digital forensic tools. Collaborating with cross - functional teams to lead initiatives and drive innovation in digital investigations.
Senior MLOps Engineer focusing on applied MLOps for CreatorIQ, bridging data science and production - grade efficiency. Responsible for annotation workflows and cost - efficient model evaluation.
Senior AI/ML Engineer leading design and deployment of high - impact AI solutions at CloudWerx. Bridging predictive modeling with next - generation Agentic AI to solve client challenges.
Machine Learning Resident developing AI - assisted tools for geotechnical site characterization. Involves collaboration with scientists and engineers to develop predictive ML models.
A(
Machine Learning Resident at Hines Health Services focusing on AI - driven medical workforce solutions. Supporting the development of scalable, AI - powered recruitment platforms over a 6 - month residency.
Software Engineer, Machine Learning developing next - generation AI technologies for clinical trial platforms. Building scalable data pipelines, optimizing model performance, and collaborating with cross - functional teams in a hybrid setting.
Senior Machine Learning Engineer at BenchSci focusing on developing machine learning models for biomedical applications. Collaborating with a team to enhance scientific experiments through AI - driven solutions.