Senior Machine Learning Engineer

Company Description Zendata is a full-stack cloud data security platform designed to help organizations embed privacy and security controls and protocols across their assets and SDLC. With a focus on data risk management and privacy compliance, Zendata analyzes processes in real time using machine learning and natural language processing to ensure regulatory threats and fines are avoided. The platform provides global coverage, 24X7 support, and Fortune 500-level security and trust. Role Description This is a full-time remote role for a Senior Machine Learning Engineer at Zendata. The Senior Machine Learning Engineer will be responsible for pattern recognition, developing and implementing machine learning algorithms, analyzing statistical data, and working with neural networks. They will contribute to the platform's design and development, collaborate with cross-functional teams, and provide technical expertise in machine learning and data security. Qualifications Bachelor's degree in Computer Science or related Proficient in English Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, Spark etc.) Strong understanding of statistical, ML and deep learning algorithms (candidates with NLP experience preferred) Experience building GenAI solutions including prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc. Experience with MLOps, preferably in AWS (e.g: Sagemaker), as well as standards tools (e.g. MLFlow) Experience visualizing and manipulating big datasets