Applied AI Engineer

2 weeks ago

dubai, United Arab Emirates Zendy Full time
We are looking for an Applied AI Engineer, with a background in building and maintaining production ML systems, to join our team. You will have a unique opportunity to work on cutting-edge AI projects, collaborate with experienced AI/ML engineers, and make a real impact on the world.Zendy.io , a product of Knowledge E, is a massive online library created to provide individuals with affordable access to a wealth of information in the form of journals, e-books, magazines and other content mediums. The ideal candidate will have a deep understanding of machine learning and natural language processing, as well as experience with developing and maintaining production-grade AI systems. Reporting directly to our Chief Technology Officer, some of your responsibilities will include:Building and maintaining robust production ML systems. Ensuring systems are reliable, scalable, and capable of handling real-time data processing and inference.Utilising AWS SageMaker for model deployment, and monitoring while leveraging AWS services to create scalable and cost-effective ML solutions.Applying solid software engineering principles in the development and maintenance of ML systems and writing clean, maintainable, and efficient code.Developing and deploying models using ML frameworks such as Huggingface, PyTorch, TensorFlow, and scikit-learn, ensuring models are well-integrated into the production environmentWorking closely with data scientists, software engineers, and other stakeholders to implement and optimise ML modelsYou are:An experienced professional with a continuous learning mindset and the ability to stay up to date with the latest advancements in AI, machine learning, and software engineering technologies. You have a proven track record of deploying and optimising machine learning models in production environments.Minimum Job Qualifications:Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field. A master’s degree or equivalent experience is preferredA minimum of 3-5 years of professional experience in applied AI engineering, machine learning, or a related fieldStrong background in building and maintaining production ML systems.Proficiency in Python and familiarity with ML frameworks: Huggingface, PyTorch, TensorFlow, and scikit-learnSolid understanding of AWS SageMaker and other AWS services related to machine learningStrong foundation in software engineering, including experience with coding, testing, and version controlExperience in optimising latency and throughput of machine learning systems and GPU workloadsExcellent problem-solving skills and attention to detailAbility to work in a collaborative, fast-paced environmentStrong written and verbal communication skillsDesired ExtrasKnowledge of retrieval-augmented generation (RAG) techniquesRust programming knowledgeHow to apply:To submit your application, please email a copy of your CV and a cover letter, detailing why you are interested in the position to  About ZendyZendy has been created with an aim of radically facilitating access to academic literature. It addresses the key challenges that we as researchers, academics, students and other professionals face through traditional ways of accessing academic and peer-reviewed content.Zendy is developed by Knowledge E in a growing collaboration with academic researchers, students, institutions and publishers. Join us on the journey, and reach out to us if you share the same vision and would like to contribute in any way.To learn a bit more about Zendy and why we exist make sure to check out zendy.io/about
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