LEAD AI ENGINEER - HEALTHCARE SAAS

Lead AI Engineer - Pioneering Decision Support SaaS for Healthcare We are on the lookout for an experienced Lead AI Engineer to join our clients innovative team and play a key role in shaping a revolutionary decision-support SaaS Healthcare platform.
This position offers the chance to drive impactful AI solutions in the healthcare domain, leading projects from inception to deployment.
What We're Looking For Educational Background.
Master's degree in a relevant field such as Computer Science, Electrical Engineering, Physics, or Aerospace Engineering.
A Ph.
.
is highly regarded.
Professional Experience.
At least 4 years of hands-on experience in applied Machine Learning roles.
Expertise in Generative AI.
Strong knowledge of Generative AI and Large Language Models (LLMs), including deploying LLMs in real-world applications.
Technical Proficiency.
Skilled in Python or similar programming languages for AI/ML development, with experience in open-source tools like LangChain.
Data Integration.
Familiarity with leveraging multiple data sources to inform AI solutions.
Innovation and Pro-activity.
Excited about starting projects from the ground up and employing experimental methods to evaluate solutions through prototypes.
End-to-End Implementation.
Capable of building fully operational prototypes, from architecture and data engineering to algorithm development and deployment.
Lifelong Learner.
Committed to keeping up with the latest AI advancements.
Adaptability.
Comfortable working in a fast-paced, dynamic environment with shifting project priorities.
Methodologies.
Experience or knowledge of Agile development practices.
Work Ethic.
Results-driven with the ability to meet tight deadlines.
Language Skills.
Excellent command of English.
Your Role and Responsibilities Lead AI Initiatives.
Spearhead the application of advanced AI technologies to enhance our platform's capabilities.
AI Pipeline Development.
Build and implement scalable AI pipelines, ensuring efficient data pre-processing, design engineering, deployment, and monitoring.
LLM Ops Architecture.
Design and manage end-to-end LLM Ops solutions using cloud platforms, automation tools, and orchestration frameworks to ensure robust and reproducible AI systems.
Generative AI Innovation.
Develop advanced Generative AI solutions, including prompt engineering frameworks for generating insightful and diverse outputs.
Cross-Team Collaboration.
Work with multiple teams to identify opportunities for AI-driven innovation and improvement.
Product Enhancement.
Collaborate with Engineering and Product teams to translate business needs into technical solutions, optimising our data infrastructure and product performance.
Algorithm Optimisation.
Fine-tune AI models and algorithms to handle structured and unstructured data effectively.
Trend Monitoring.
Stay ahead of the curve by keeping up with emerging AI trends, applying the latest best practices to projects.
Quality Assurance.
Ensure high standards for AI solutions through thorough testing and validation.
If you're passionate about leveraging AI to transform healthcare and thrive in a dynamic, forward-thinking environment, we'd love to hear from you! Required skills Europe Machine Learning Medical Devices Software Development portugal Deep Learning Digital Health SaMD Medical Device - Diagnostic Oliver Wood