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We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.Type of data in .sgy, .csv, .las format.ResponsibilitiesUnderstanding business objectives and developing models that help to achieve them, along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlines are metAnalyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionSkillsProficiency with a deep learning framework such as TensorFlow or KerasProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latencyBTech Computer Science, a related technical field, or equivalent practical experience.Automation experience with at least one configuration/deployment management system such as Google Deployment Manager, Terraform, Chef, Puppet, Ansible, AWS Cloud Formation, Salt, or other such tools
