Data Scientist with MLOps

7+ years of professional experience in data science and machine learning3+ years of hands-on experience with MLOps and production ML systemsProven track record of deploying and maintaining multiple ML models in production at scaleDeep expertise with Google Cloud Platform and Vertex AI ecosystemStrong experience architecting ML pipelines using Kubeflow, TFX, Vertex Pipelines, or similar Technical SkillsExpert-level proficiency in Python and multiple ML frameworks (TensorFlow, PyTorch, JAX)Advanced knowledge of distributed computing and model training (Ray, Horovod, distributed TensorFlow)Strong understanding of containerization (Docker), Kubernetes, and microservices architectureExpertise in SQL, BigQuery, and distributed data processing (Dataflow, Spark)Experience with infrastructure as code (Terraform, Cloud Deployment Manager)Proficiency with version control systems and collaborative development workflowsLeadership & Communication