Data Science II - ML Ops

Description : We are looking for an MLOps Engineer with 3–5 years of experience building and operating production ML systems, with meaningful exposure to the pharma or healthcare domain. You will be responsible for taking data science outputs and making them robust, scalable, and maintainable in production, covering the full lifecycle from pipeline orchestration and model deployment to monitoring, retraining, and compliance across client engagements. You will work closely with data scientists, …