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Form of workThis is a remote position and can be located anywhere in Canada or USA.
AS THE WORLD MOVES TO FHIR, THERE ARE PLENTY OF REASONS TO SMILE.
Smarter decisions, fewer barriers, and better incentives are just the beginning. Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.
We reduce barriers between information and care for those who deliver or consume health services and products and whose roles or care are hindered by fractured, inaccessible or complex information systems. Let's make a difference!
BE PART OF THE TEAM WORKING TOWARDS #BETTERGLOBALHEALTH
Position Summary
The Full-Stack Software Developer position is part of the Smile Labs team with the Product Department and will be responsible for developing the Artificial Intelligence strategy and software components for AI and Machine Learning that build on top of Smile Digital Health products. The team focuses on customer specific requirements in a scalable solution model. You will work in an Agile environment with 2 week sprints.
Responsibilities
- Be the AI/ML subject matter expert on the team. Stay abreast of emerging technologies, trends and opportunities, and infuse AI/ML strategy and best practices into our solutions.
- Help document the company's AI strategy and ensure alignment with product roadmap and company objectives.
- Help shape the approach, scope, milestones, and solution design at the project start.
- Implement AI/ML solutions with the development team; write code, configure external components and prototype new technology.
- Write manageable code and unit tests and create relevant documentation.
- Participate in client meetings if required.
- Remain acutely aware of all priorities, deadlines, and backlogs to positively coach and assist the team in completing the required project tasks.
- Understand the functionality being developed to provide support to the team.
- In-depth in-person code reviews, pair-programming and collaborative problem analysis.
- Participate in recurring Product and/or Technology meetings to suggest or actively participate in corporate technical processes, architecture, and strategy, as required.
- Comply with the privacy, security and confidentiality policies.
Requirements
- Minimum of 5 years of experience with AI data science, ML engineering, or data analytics.
- Minimum of 2 years of experience designing and implementing AI solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining.
- Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark.
- Expert knowledge of machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning.
- Proficiency in programming languages such as Python, R, JavaScript, and C++.
- Knowledge of popular machine learning frameworks such as TensorFlow and PyTorch
- Familiarity with cloud platforms, such as Azure and GCP, and their relevant AI services.
- Familiarity with data engineering concepts, including data pipelines, data integration, and data warehousing.
- Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
- Strong analytical and creative problem-solving skills.
- Ability to effectively communicate technical information to business executives.
- Adaptability and willingness to learn new AI technologies and techniques.
- Great communication skills and able to collaborate on features with the team.
- Experience with CI/CD pipelines, docker containers and networking.
- A completed Engineering, IT, Healthcare Bachelor's degree or College diploma in or related field and has equivalent experience.
- Experience with NginX, Postman, Insomnia, Gitlab CI, MongoDB, PostgresQL, Azure B2C, AWS Cognito, SSO OIDC, Slack, Google Tech, Jira, Gitlab, Figma is preferred.
- Experience with healthcare standards like HL7 and FHIR is preferred.
Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values and because our people are the foundation of our success, we remain dedicated to building diverse and inclusive teams. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We welcome and encourage candidates of all backgrounds to apply. We are dedicated to fostering a workplace that values diversity, equity, and inclusion. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
- Pay Type Salary
