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Intro:We are witnessing first-hand how Machine Learning is transforming entire industries, automotive, healthcare and medical device industries, and media and entertainment being just a few. At HTEC, we have a number of amazing experts in this domain, and now we are looking to make our ML team even stronger. If you want to be a part of the ongoing ML revolution and grow together with our experts, read the description below and do not hesitate to apply.Key responsibilities:Designing and building machine learning solutions for a given problem, then evaluating and presenting the resultsData acquisition, exploration, cleaning, augmentation, and visualizationDesigning, conducting, and tracking experiments in different domainsDesigning, training, fine-tuning and deploying custom and existing machine learning modelsAnalysing and addressing the errors of applied machine learning models and algorithmsWorking on solution productization, high-level design, and low-level implementation Driving the technical quality of a solution and managing technical debtEnsuring that the solution is well-documented and presentable to stakeholdersParticipating in the technical investigation (Spike) and prototyping (PoC)Communicating and collaborating with engineering teams, product teams, and stakeholders in all project phasesRequired qualifications:Demonstrated proficiency in designing and delivering robust and scalable distributed systems in productionProficient in Python and experienced with object-oriented programming, clean coding, and version controlProficient in:supervised and unsupervised machine learning(hyper)parameter optimization techniquesExperienced in:utilization of deep learning models for given tasktransfer learning and/or fine tunningmodel compression techniquesmodel explainability techniquesfeature engineeringProficient in at least one of the commonly used frameworks – TensorFlow, PyTorch, Keras, scikit-learn, etc.Experienced in model versioning and experiment tracking/reproducibility tools.Experienced in working with structured and unstructured data, as well as relational and non-relational databasesExperienced in cloud platforms/on-premise and containerizationExperienced in algorithmic complexity, GPU/CPU utilization, and I/O bandwidthCreating pragmatic technical documentation with well-understood diagramsAbility to explain technical points using business language and presentationsNice to have:Striving for constant improvements in solution designKeeping up with the new trends in the fieldExperience in working with some of the following domains: Computer Vision, NLP, or signal processing
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