Requirements

Expertise in cloud platforms, ML engineering, data pipelines and CI/CD for deploying and managing machine learning solutions. Google Cloud Platform (GCP) services: AI Platform (Vertex AI), Cloud Storage, BigQuery, Cloud Functions, Cloud PubSub, Cloud Build, Airflow, and Cloud Run. Understanding of ML concepts and LLMs (training, validation, hyperparameter tuning, evaluation). Experience with TensorFlow, Keras, PyTorch, and scikit-learn. Data preprocessing, ETL, and data pipelines using PySpark and Scala using serverless dataproc. CI/CD for ML (MLOps)

Knowledge of CI/CD tools like Looper Pro and Jenkins. Model versioning, continuous training, and deployment using Vertex AI pipelines. Automation Scripting

Strong programming skills in Python, Bash, and SQL. Automation of workflows and ML pipelines. DevOps Containerization

Kubernetes (GKE) and Docker for containerization and orchestration. Good to have Helm charts and YAML for Kubernetes dep...