Job Title

Job Description:As a Principal AI/ML Engineer, you will be responsible for leading the team for architecting and building enterprise-scale AI solutions that transform how we approach drug discovery, clinical research, and patient care. In the role you will work collaboratively with data scientists, researchers, and software engineers to architect, design, develop, and deploy cutting-edge AI solutions, addressing a range of business challenges. You will be instrumental in building and maintaining machine learning models, crafting advanced algorithms, and ensuring the scalability and robustness of our AI systems.Responsibilities:- Lead the evaluation, adoption, and integration of emerging AI technologies and methodologies across the organization - Architect and oversee the development of large-scale, distributed AI systems capable of processing multi-modal biological data···············Mentor and guide senior AI/ML engineers, data scientists, and cross-functional teams in advanced AI methodologies- Lead technical reviews, architectural decisions, and code quality standards across AI projects - Translate complex AI concepts into business value propositions for non-technical audiences - Establish partnerships with technology vendors, cloud providers, and AI research organizationsRequirements:··Proven track record in biotechnology, pharmaceutical, or healthcare AI applications with measurable business impact- Extensive experience with cloud-native AI platforms (AWS SageMaker, Google Vertex AI, Azure ML) and containerization technologies••••••••••Proficiency in MLOps tools, model monitoring, and automated deployment pipelines- Strong background in statistical methods, experimental design, and causal inference - Demonstrated ability to lead and inspire high-performing technical teams - Exceptional communication skills with experience presenting to C-level executives and external stakeholders - Proven track record of driving organizational change and technology adoption - Deep understanding of regulatory requirements for AI in pharmaceutical and biotechnology industries (FDA, EMA guidelines) - Familiarity with big data technologies, such as Hadoop, Spark, or NoSQL databases. - Experience with Dataiku, Databricks, AWS Sage maker, Google Vertex AI - Experience with OpenAI and other Generative AI Models - Knowledge of the biotechnology and pharmaceutical industry is a plus.