AI/ML engineer

Full Description

As an AI engineer or an ML engineer, you need to perform certain tasks, such as develop, test, and deploy image classification, image recognition and NLP models through Python programming and deep learning algorithms such as Neural Network, Efficient Net, Transformers and any others algorithms. Responsibilities: Research on SOTA literature & publicised papers, sustainable models and architecture design Mainly focus on building image and object recognition models, NLP models. Build AI models from scratch and collaborate with experts such as data scientists, coders, programmers and other stakeholders. Perform data statistical analysis and interpreting findings and results to generate insights for organisation's decision-making Automating critical tasks and procedures for a data science team Be a good team player, collaborate with the team in our fast-paced, agile environment, explore new possibilities for better product quality, and succeed with the team. Converting machine learning models into APIs with which other apps may interact Communicate with various stakeholders, understand and solve their pain points Qualifications and Skills: BSc / MSc in AI, computer science, physics or a similar field or relevant experience Strong logical thinking and python skills. Strong passion to learn and explore ML/AI algorithms. Experienced in python project coding, optimization, designing, testing and debugging. Experienced in support daily BAU tasks, project enhancement, system maintenance, and R&D project. Hands on experience in using ML libraries such as Tensorflow, Transformers, PyTorch, Keras. Experienced in new project development cycle Experienced in Dataiku platform Good to have: Experienced in ML/AI project development, training and maintain model performance monitoring. Familiar with algorithms such as supervised, semi-supervised, unsupervised and reinforcement. Familiar with NLP language model and algorithms. Familiar with Docker and UNIX working system. Familiar with

REST APIs, version control systems-GIT and UI/UX principles. Familiar with popular SOTA ML/AI models Familiar with Transformer based models

#J-18808-Ljbffr