MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
Responsibilities
- Design, implement, and validate machine learning and deep learning models
- Deploy these models to cloud infrastructures or on embedded/edge devices
- Develop robust, reusable software components
- Collaborate with a multidisciplinary team
- Maintain continuous scientific monitoring and staying current with literature
- Evaluate solution performance using simulated and real-world data
- Clearly document algorithms, workflows, and results
Requirements
- Master’s degree or PhD in Machine Learning, Physics, Electrical Engineering or Computer Science, Applied Mathematics, Aerospace, or a related field
- Minimum of 5 years of experience in the field
- Bilingual in French and English (written and spoken)
- Equivalent combinations of education and experience may be considered
- Strong fundamentals in machine learning, probability, statistics, and optimization
- Hands-on experience with deep learning frameworks (e.g., PyTorch), Python and scientific libraries, and development and debugging of custom models
- Solid understanding of deep learning architectures
- Ability to design proofs of concept with production constraints
- Good software engineering practices
- Assets: experience deploying models within data pipelines, knowledge of high-performance computing, interest in or knowledge of orbital mechanics, experience with large-scale data ingestion
Benefits
- Health and dental insurance starting on day one
- Flexible hours and hybrid work model
Job title
Job type
Experience level
Salary
Not specified
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 Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.