Senior Cloud Engineer

May 4

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Perfecting GovTech. Upgrading the public experience.

Cloud Infrastructure • CMMI • AWS • Quality Assurance • IT Architecture

51 - 200

Description

• Experience with cloud services (AWS). • Experience in deploying machine learning models in a production environment. • Experience with Natural Language Processing. • Experience with Haystack, LlamaIndex, LangChain, or similar frameworks.

Requirements

• Bachelor’s or master’s degree in computer science, mathematics, statistics, or a related field. • Proven experience as a Machine Learning Engineer or similar role. • Proven experience with NLP use cases. • Understanding of data structures, data modeling, and software architecture. • Deep knowledge of math, probability, statistics, and algorithms. • Ability to write robust code in Python, Java, or R. • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, spacy, nltk). • Excellent communication skills. • Ability to work in a team. • Outstanding analytical and problem-solving skills.

Benefits

• Be involved in all stages of algorithm development from inception and design to implementation and optimization. • Bring your blend of machine learning knowledge, programming expertise, and practical problem-solving skills. • Design and develop machine learning models to meet business objectives. • Collaborate with cross-functional teams to understand company needs and devise possible solutions. • Keep abreast of developments in the field to ensure that outcomes are cutting-edge. • Conduct data gathering and preprocessing. • Analyze and visualize data to inform model adjustments. • Implement models and monitor their performance. • Continually work to improve existing machine learning frameworks. • Translate complex research into practical solutions and actionable insights. • Write robust, maintainable, and scalable code.