Alcimed · 1 day ago
Applied AI/ML Engineer - Healthcare & Pharma
Alcimed is a company focused on innovation in the Lifesciences sectors, and they are seeking an Applied AI/ML Engineer to work on AI-powered digital solutions in healthcare. The role involves translating business needs into AI solutions, building data pipelines, and collaborating with software engineers to integrate AI into applications.
ConsultingInnovation ManagementPharmaceutical
Responsibilities
Translate healthcare and pharma business needs (R&D, medical affairs, commercial, etc.) into robust AI and ML solution designs with the most appropriate approach depending on client constraints and requirements: security, cost, performance, reliability and explainability
Build and optimize data pipelines, fine-tuning strategies, and evaluation frameworks for domain-specific use cases
Design, develop, and deploy AI-powered features leveraging LLMs, agentic AI systems, and modern ML techniques
Collaborate closely with software engineers to integrate AI components into fully featured applications
Act as a technical referent on AI topics within project teams and contribute to internal best practices
Maintain direct interaction with clients throughout the project lifecycle, in an agile, product-oriented consulting approach
Qualification
Required
Master's degree or PhD in Computer Science, Data Science, AI, Biomedical Engineering, or a related field
1–3 years of hands-on experience building AI / ML systems, ideally in healthcare, life sciences, or regulated industries
Strong proficiency in Python and modern ML / AI tooling
Practical experience with LLMs, including at least one of: RAG architectures, Fine-tuning techniques, Model evaluation and benchmarking, Agentic AI systems or MCP servers, using modern frameworks (e.g. LangChain, LlamaIndex, AutoGen, CrewAI or similar)
Ability to work in lean teams, take ownership, and make technical decisions
Strong interest in healthcare, pharma, and applying AI to real-world impact
Comfortable in client-facing environments, able to explain complex AI concepts to non-technical stakeholders
Curious, entrepreneurial mindset, with a strong appetite for innovation and teamwork
Work authorization in the US is necessary
Preferred
Familiarity with open-source LLM ecosystems is a strong plus