Senior AI Engineer & Applied Researcher

As an AI Engineer & Applied Researcher at our company, your role will involve developing and deploying AI solutions with the aim of delivering measurable business impact. You will collaborate with clinicians, product managers, and software engineers to bring applied solutions from ideation to enterprise deployment in real-world applications. Your focus will be on investigating statistical and algorithmic approaches to achieve the necessary accuracy and explainability required in healthcare applications. Additionally, you will be responsible for identifying, evaluating, and integrating emerging AI technologies to ensure optimal solutions aligned with business value. Your contribution to product innovations, intellectual property, or published research will play a key role in integrating cutting-edge advancements. Establishing and upholding best practices in AI/ML, including rigorous testing, validation, and documentation, will be essential. You will also have the opportunity to learn rapidly through hands-on prototyping of 3rd party software and proprietary development. **Key Responsibilities:** - Develop and deploy AI products to deliver measurable business impact - Collaborate with cross-functional teams to develop applied solutions for real-world applications - Investigate statistical and algorithmic approaches for accuracy and explainability in healthcare applications - Identify, evaluate, and integrate emerging AI technologies aligned with business value - Contribute to product innovations, intellectual property, or published research - Establish and uphold best practices in AI/ML, including testing, validation, and documentation - Learn rapidly through hands-on prototyping of software **Qualifications Required:** - Ph.D. or master's degree in computer science, Artificial Intelligence, or related field preferred; or Bachelor's degree with substantial professional experience - 3+ years of experience in developing and deploying AI/ML systems in production - Proven success in translating complex customer challenges into high-quality AI solutions - Advanced understanding of large language models and best practices in combining them with search and domain-specific content - Proficiency in software development, including version control, testing, and CI/CD pipelines, with knowledge in cloud environments like AWS, Azure, and GCP - Excellent analytical and communication skills to convey complex technical information to stakeholders - Results-driven mindset focusing on delivering scalable, maintainable, and impactful solutions (Note: The additional details of the company were not present in the Job Description provided),