Senior AI Engineer & Applied Researcher

3 years

0 Lacs

Posted:4 months ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Essential Duties And Responsibilities Develop and Deploy AI Solutions: Design and implement reliable and high- performing code for AI products that deliver measurable business impact. Cross-Functional Collaboration: Collaborate with clinicians, product managers, and software engineers to develop applied solutions from ideation to enterprise deployment and scaling in real-world applications Strive for Robustness: Systematically investigate statistical and algorithmic approaches to attain the level of accuracy and explainability needed in healthcare applications Drive Innovation: Identify, evaluate, and integrate emerging AI technologies to ensure optimal solutions aligned with business value. Advance Research: Contribute through product innovations, intellectual property or published research that integrates cutting-edge advancements. Foster Best Practices: Establish and uphold best practices in AI/ML, including rigorous testing, validation, and documentation. Learn fast through hands-on rapid prototyping of 3rd party software, both commercial and Open Source, and proprietary development Other Duties Performs other duties as assigned by supervisor. Job Qualifications You’re a fit for the role of AI Engineer & Applied Researcher if you have: A Ph.D. or master’s degree in computer science, Artificial Intelligence, or a related science or engineering field is preferred; or a Bachelor’s degree with substantial professional experience. 3+ years of experience developing and deploying AI/ML systems in production. Proven success in translating complex customer challenges into high-quality, impactful AI solutions. Advanced understanding of large language models, including best practices in combining LLMs with search, enhancing with domain-specific content, and evaluation. Proficiency in software development, encompassing version control, testing, and CI/CD pipelines, with demonstrated knowledge in cloud environments such as AWS, Azure, and GCP. Excellent analytical and communication skills, with the ability to convey complex technical information to cross-functional stakeholders. A results-driven mindset with a focus on delivering scalable, maintainable, and impactful solutions. Preferred Qualifications The following is highly desired, but not required: Experience in healthcare Travel Requirements Up to 10% travel might be needed Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Show more Show less

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Wolters Kluwer

Information Services

Los Angeles

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