5-7 years of overall industry experience with a minimum of 3+ years of hands-on experience in designing, building, and deploying ML applications in production environments.
Strong expertise in Python, NumPy, Pandas, Scikit-learn, and machine learning frameworks such as TensorFlow, PyTorch, and XGBoost.
Minimum 3+ years of experience working with Generative AI technologies, including RAG (Retrieval-Augmented Generation) systems, LLM prompt engineering, and frameworks such as LangChain or similar orchestration tools.
Hands-on experience with NLP, Computer Vision, Deep Learning, feature engineering, data preprocessing, and model optimization techniques.
Minimum 2+ years of experience with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and deploying scalable ML pipelines in production.
Experience with MLOps practices, including model deployment, monitoring, data drift detection, and supporting customer-facing ML/GenAI solutions in production environments.
