Job Description

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 Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring 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 world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Skills B. E / B.Tech / M.S in Computer Science Graduate 5+ yrs of experience in developing AI/ML models in NLP domain specific Proficiency with Python and basic libraries for machine learning such as scikit-learn, nlp libraries, and pandas Good at regular expression skills Experience with popular React.js workflows (such as Flux or Redux) Familiarity with newer specifications of EcmaScript Expertise in model and training evaluation Ability to select hardware to run an ML model with the required latency Sentence transformers, different NER models TDD skill and mindset all across: pytest, selenium code coverage Skilled in static code quality assurance tools: eslint, pylint etc Good at model performance improvement

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