Generative AI Developer – Healthcare AI Platform

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October 17

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Calliere Group

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B2B • Recruitment • IT Recruitment

Calliere Group is a boutique organization that specializes in executive search, talent acquisition, and advisory services, primarily focused on the technology and professional services sectors. With a team composed of experts with Fortune 500 experience, they provide tailored and collaborative solutions designed to align organizational needs with top-level talent, ensuring outstanding business outcomes for their clients.

2 - 10 employees

Founded 2008

🤝 B2B

🎯 Recruiter

📋 Description

• Build, refine, and productionize advanced generative AI models—including LLMs, GANs, VAEs, and transformers—tailored for healthcare data and workflows • Fine-tune large language models, design effective prompts, and use transfer learning to address specialized healthcare use cases, ensuring high performance and compliance standards • Work closely with data scientists, engineers, product managers, and clinical advisors to ideate, prototype, validate, and deploy generative AI features • Translate requirements from business and clinical stakeholders into robust technical solutions that drive automation, enhance decision support, and increase operational efficiency • Develop rigorous testing, validation, and monitoring frameworks for generative AI models to ensure quality, reliability, and real-world performance • Promote model interpretability and compliance within a responsible “human in the loop” operational framework, aligning with industry standards and ethical best practices • Conduct research on emergent techniques in generative AI and applied healthcare data science, sharing knowledge with colleagues and occasionally communicating advancements to industry audiences • Contribute to continuous improvements in the technical stack, integration pipelines, and deployment strategies working closely with engineering and DevOps.

🎯 Requirements

• Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD preferred) • 3+ years of hands-on experience developing and deploying generative AI models (LLMs, transformers, GANs, VAEs) in Python using industry-standard ML frameworks • Proven track record in fine-tuning and evaluating large language models, applying NLP to unstructured data, and prompt engineering, ideally within healthcare, life sciences, or regulated industries • Strong skills in software engineering (Git), distributed/parallel computing, cloud-based ML deployment, and MLOps best practices • Familiarity with cloud platforms (AWS, GCP, Azure) and experience integrating machine learning solutions into scalable SaaS products • Deep understanding of healthcare data challenges, regulatory requirements, and a passion for solutions improving outcomes for clinicians and patients • Commitment to rigorous problem-solving, ethical AI development, and responsible innovation in high-stakes environments.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events