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.
Responsibilities
Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents
Developing robust, scalable APIs in Python
Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.
Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management.
Work with our expert in the loop teams to build industry leading evaluations
Other duties and responsibilities will be assigned as projects develop, adjust and mature.
Requirements
Experience working across multiple engineering teams to deliver projects
Technical excellence in one area of Machine Learning
Strengths in one of backend engineering, data engineering or cloud engineering
Ability to think through problems end to end, including data, infrastructure, research, monitoring and inference considerations
Possess professional working experience with LLMs, RAG, BERT based models.
A track record of developing high-quality, maintainable code.
Excellent problem-solving skills in an independent and team setting
Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.
Benefits
Flexible hybrid environment with the option to collaborate in-person at our Toronto HQ.
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options, as we’re still a young company growing very quickly.
An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and when you thrive there, you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose.
Access to a learning and professional development fund to help you level up your career while you’re working with us. We hope to be an incredible step up in your career if you decide to come and work with us.
Lead AI/ML & MLOps Engineer executing projects from data foundations to model deployment. Collaborating with sales to drive AI/ML engagements for our clients.
Applied ML Engineer working on AI - driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
Adversarial Machine Learning Engineer conducting adversarial testing and simulations on LLM - driven AI systems for enterprise security. Collaborating with teams to validate and document findings.
MLOps Engineer managing infrastructure for large 2D and 3D media datasets at NBCUniversal. Responsible for automation, reproducibility, and performance of machine learning lifecycles.
Senior ML Engineer leading the strategic direction of machine learning infrastructure for global food delivery platform. Collaborating with Data Science team for seamless model deployment and innovation.
Machine Learning Intern/Co - op at Cohere working on developing and training models for AI applications. Join a team focused on advancing AI technology in an inclusive environment.
Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Senior Software Developer responsible for designing and developing solutions in data engineering and machine learning. Collaborating with teams to deliver scalable software solutions with agile methodologies.
Senior ML Engineer responsible for designing and building ML pipelines for a Trust Scoring platform. Involves productionizing models and implementing MLOps best practices.
Principal Machine Learning Engineer designing the core ML systems for AI agents at Workday. Collaborating in cross - functional teams to integrate ML solutions into the platform.