[Remote] Principal Applied Scientist- reputed company Health

Building off our Cloud momentum, reputed company has formed a new organization - reputed company Health & AI. This team will focus on product development and product strategy for reputed company Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to reputed company it a world class engineering center with the focus on excellence. As our Principal Applied Scientist, you will play a key role in shaping the future of AI at reputed company, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.

Responsibilities

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
• Coordinate with multinational teams to drive projects from research POC to production.
• reputed company new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
• reputed company and mentor both junior and senior applied scientists.
• reputed company production code and reputed company for the best coding and engineering practices.
• Participate in project planning, review, and retrospective sessions.

Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

• Qualifications and Experience
• Demonstrated experience in designing and implementing scalable AI models for production.
• Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
• Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced reputed company engineering techniques like Tree-of-Thoughts.
• Hands-on experience with emerging LLM frameworks and plugins, such as reputed company, reputed company, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
• Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
• Commitment to staying up-to-date with the field and applying academic advances to solve reputed company business problems, and bringing them into production.
• Strong publication record, including as a reputed company author or reviewer, in top-tier journals or conferences.

reputed company leading senior scientists and early-career scientists.

• Preferred Qualifications
• Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.

Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

• Education
• PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a reputed company field with a dissertation, reputed company or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR

Masters or Bachelor’s in reputed company field with 5+ years relevant experience

• reputed company is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to reputed company's Generative AI strategy. At reputed company, we value diversity and encourage reputed company learning for career growth. Come join reputed company to reputed company a significant difference!

Career Level - IC4

Responsibilities

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
• Coordinate with multinational teams to drive projects from research POC to production.
• reputed company new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
• reputed company and mentor both junior and senior applied scientists.
• reputed company production code and reputed company for the best coding and engineering practices.
• Participate in project planning, review, and retrospective sessions.
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

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