3 days ago
Cork, IrelandSenior
Responsibilities
- Lead the design, development, deployment, and operation of enterprise-scale AI, machine learning, and LLM solutions.
- Build and productionize machine learning pipelines using Azure Machine Learning, Azure Databricks, and cloud-native services.
- Establish and improve MLOps and LLMOps practices, including model versioning, automated testing, monitoring, and governance.
- Develop scalable deployment architectures using containerization, infrastructure as code, and automation frameworks.
- Partner with data scientists and product teams to transition prototypes into reliable production systems.
- Implement model observability, performance monitoring, drift detection, and reliability engineering practices.
- Lead technical troubleshooting, root cause analysis, and continuous improvement for AI-enabled platforms.
- Mentor engineers and promote engineering excellence through documentation, knowledge sharing, and best practices.
Requirements
- 7+ years of experience designing, building, and supporting machine learning solutions in enterprise environments.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience.
- Strong software engineering experience with Python and modern application development practices.
- Experience deploying machine learning models into production cloud environments.
- Hands-on experience with MLOps, including CI/CD pipelines, model lifecycle management, automation, and monitoring.
- Experience with Azure Machine Learning, Azure Databricks, or comparable cloud-based machine learning platforms.
- Experience with containerization technologies such as Docker and production deployment patterns.
- Ability to communicate technical concepts effectively to technical and business stakeholders.
- Preferred experience developing and deploying generative AI and LLM solutions, including Azure AI Foundry, prompt engineering, evaluation frameworks, and AI guardrails.
- Preferred knowledge of LLMOps, RAG architectures, model evaluation, AI observability, Terraform, Kubernetes, AKS, distributed computing, large-scale data processing, AI governance, responsible AI, security, privacy, and compliance.
- Preferred experience in healthcare, supply chain, pharmaceutical, or distribution industries, plus mentoring engineers and leading complex cross-functional initiatives.
Benefits
- Total Rewards package with comprehensive benefits supporting physical, mental, and financial well-being.
- Additional compensation such as annual bonus or long-term incentive opportunities may be offered; compensation also includes a stated base pay range of €72,000–€120,000.
- Position may be remote, hybrid, or office-based depending on organizational requirements.
- Travel may be required based on business needs.
Tech Stack
Categories
About McKesson
McKesson is a public healthcare company that distributes pharmaceuticals and medical‑surgical supplies and provides pharmacy and provider technology and services. It sells to pharmacies, hospitals, health systems, and biopharma manufacturers through logistics, specialty and oncology support, pharmacy management, and healthcare IT/analytics offerings. Founded in 1833 and headquartered in Irving, Texas, it trades on the NYSE under the ticker MCK.