Strong programming skills, particularly in Python, with experience in ML frameworks like TensorFlow or PyTorch. Proven expertise in MLOps best practices including model versioning, monitoring, automated deployment, and infrastructure automation. In-depth knowledge of Google Cloud Platform services including Data Fusion, Dataproc, Dataflow for data processing and pipeline orchestration. Experience working with PostgreSQL databases and data integration tools like Qlik Replicate. Expertise in security and privacy considerations for machine learning systems, including data encryption, access control, and compliance with regulations such as GDPR and HIPAA. Strong communication and leadership skills, capable of engaging both technical and non-technical stakeholders effectively.