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About the role
Senior ML Engineer - GenAI, RAG & GCP 100% Remote Contractual Role Working Hours: 6 30 PM to 3 30 AM (Night Shift) Required Skills: - 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. - Solid 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. .
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