Smarter Technologies · 9 hours ago
Staff Software Engineer, Machine Learning
Smarter Technologies is the automation and insight platform for healthcare efficiency, seeking an Exceptional ML Engineer for their Platform Engineering team. The role involves developing and optimizing AI-driven solutions, collaborating with engineers, and integrating machine learning capabilities into the platform.
Artificial Intelligence (AI)HealthcareSoftwareHealth Care
Responsibilities
Innovate: Stay at the forefront of AI/ML advancements, continuously exploring new techniques, models, and tools. Your insights will help drive innovation and keep our platform at the cutting edge of technology
Collaborate: Work closely with core platform and automation engineers, as well as other stakeholders, to identify and address business needs through Machine Learning solutions. You will play a key role in bridging the gap between AI research and practical application
Integrate: Utilize APIs, pre-trained models, and other tools to implement AI-driven features across our platform. You will focus on integrating these capabilities into production systems, enhancing the functionality and performance of our solutions
Optimize: Fine-tune and optimize existing solutions for specific product requirements, ensuring that AI integrations are efficient, scalable, and reliable
Qualification
Required
Bachelor's or Master's in Computer Science/Engineering, Data Science, or a related field
Over 4 years of experience in machine learning, with a focus on implementing and integrating AI solutions using APIs and pre-trained models
Proficiency in programming languages such as Python, TypeScript, or similar, with experience in utilizing AI/ML frameworks and tools such as LangChain, LlamaIndex, etc
Familiarity with cloud infrastructure (ideally AWS) and experience in deploying and scaling AI applications
Strong understanding of AI/ML concepts, but with a practical focus on application rather than research
Excellent written and verbal communication skills, with the ability to convey complex AI concepts to technical and non-technical audiences