Senior Principal AI/Data Science Engineer
This role will lead AI innovation and execution for digital initiatives, enhancing product capabilities and business growth. It will develop an AI/ML plan for the Digital Transformation Office and collaborate with cross-functional teams on AI platform and governance strategies.
Responsibilities:
* Stakeholder Communication: Present updates and technical roadmaps to stakeholders, aligning with strategic objectives.
* Platform Architectures: Develops edge to cloud architecture for training, inferencing, and MLOps infrastructure. Collaborates with others on the overall data architecture.
* Knowledge Sharing & Best Practices: Facilitate knowledge sharing, discuss best practices, and promote innovation culture.
* Continuous Improvement: Assess AI/ML maturity levels, drive initiatives, and scale use cases, data, and algorithms.
* Deploy Optimized Models: Create and deploy machine learning models to solve business problems, optimize performance, and monitor results.
Requirements:
* Bachelor's degree in computer engineering, software engineering, computer science, electrical engineering, or related technical field.
* Minimum of 10 years of relevant experience, or advanced degree with 8 years of experience.
* Strong programming skills in languages such as Python.
* Hands-on experience in establishing data strategy and data processing pipelines.
* Hands-on experience in state-of-the-art Machine Learning, Deep Learning, and Computer Vision in extracting insights from images in real-time.
* Strong written and verbal communication & presentation skills.
* Proficiency in data manipulation and analysis such as SQL and Spark.
* Hands-on experience with cloud computing platforms (AWS).
* Strong security and data-privacy mindset.
* Source Control systems Git/GitHub experience.
Preferred Qualifications:
* Previous healthcare industry experience.
* AWS certifications.
* Prior experience in digital transformation.