Lead – Machine Learning ( 1 position )

We are looking for a Machine Learning expert to lead our efforts in creating Artificial Intelligence (AI) and Natural Language Processing (NLP) based products.

Your responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.

Your ultimate goal will be to shape and build efficient self-learning applications.

Duties & Responsibilities
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Analysing the ML/NLP algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualising 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
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • 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 hyper-parameters
  • Analysing the errors of the model and designing strategies to overcome them
  • Deploying models to production
Experience

3+ years experience as an ML/NLP Engineer or similar role

Skills & Abilities
  • Proficiency in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn or pandas)
  • Expertise in visualising and manipulating big datasets
  • Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
  • Proficiency with OpenCV
  • Ability to select hardware to run an ML model with the required latency
  • Degree in Computer Science, Mathematics, Computational Linguistics or similar field
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