Director, Applied AI Engineering - Life Sciences Markets

Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws machine learning ai ci/cd llm
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πŸ“‹ Description

  • Hands-On AI Development: Personally design, build, and deliver core AI services, applications, and
  • Technical Leadership and Team Management: Lead the engineering team and oversee overall squad
  • Strategy and Roadmap Development: Identify high-value life sciences market questions that can be
  • AI Architecture and Implementation: Design and implement solutions that combine machine learning
  • Engineering Quality and Model Evaluation: Establish automated testing, evaluation datasets, and
  • Production Deployment and Ownership: Move prototypes into production and take responsibility for

🎯 Requirements

  • Production AI Engineering: Demonstrated experience personally building and shipping production AI
  • Technical Leadership: Proven ability to lead cross-functional technical delivery while remaining
  • AI and LLM Expertise: Deep practical experience integrating machine learning models and LLMs into
  • Model Assessment: Ability to understand model limitations, evaluate performance, and select
  • Client-Facing Communication: Experience working directly with technical and non-technical client
  • Data and Software Engineering: Strong hands-on experience with scalable data pipelines, automated

🎁 Benefits

  • Remote Work: Remote position open to candidates in the United States, aligned with Eastern
  • Technical Leadership: Opportunity to lead a specialized engineering squad while remaining directly
  • Strategic Impact: Influence the development of AI-powered products that generate insights into
  • Cross-Functional Collaboration: Work alongside engineers, data scientists, domain experts, and
  • Product Innovation: Build scalable AI capabilities and turn advanced technical concepts into
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