Machine Learning Engineer
CurrentCreation and Optimization of Data Pipelines in response to ML Model requirements.Researching, experimenting, prototyping, and building models and components forcontent understanding pipelines, including state of art neural architectures for NLP (and some Computer vision) domain – model selection, pre-training, fine-tuning, optimization, etc. on the latest GPU hardware.Propose and implement solutions using Machine Learning techniques in solving different real-world problems.Providing solutions for instance segmentation, multiple object tracking, and event detection problems.Research and adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines.Identify opportunities for machine learning process automation.Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).