MUST-HAVES: 10 years of experience in DevOps, Cloud Engineering , or a similar role, with a focus on AI/ML workflows and data engineering. Strong hands-on experience with Azure Cloud , including Infrastructure as Code (IaC) tools such as Terraform or Azure Resource Manager (ARM). Proven expertise in managing Databricks environments for data processing and AI workloads. Proficiency in CI/CD tools like Jenkins, GitLab CI, or Azure DevOps , and experience in scripting (Python, Bash, etc.). Experience with containerization technologies, such as Docker and Kubernetes , for scalable deployment. PLUSSES: Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred. Job Description: A growing pharmaceutical company is seeking a AI/ML DevOps Engineer with expertise in Azure Cloud, the Databricks platform, and DevOps practices to join our dynamic Data Science and AI team. This role involves leading the implementation of scalable AI/ML cloud architectures, establishing best practices in cloud infrastructure and DevOps methodologies, designing and deploying Databricks workspaces and clusters, and architecting end-to-end CI/CD pipelines for AI/ML model deployment. The engineer will also optimize containerized applications using Docker and Kubernetes, collaborate with cross-functional teams, contribute to code reviews, and mentor junior engineers. Continuous learning and innovation are key, as the role requires staying updated on advancements in relevant technologies and identifying opportunities for automation and process enhancements. The AI efforts will primarily focus on commercial functions.
