Our team

Machine Learning Expert


Machine Learning Expert

Job Location

Remote in Romania

Available Positions

1 positions

Job Type


Job Ref. Number


We are looking for a Machine Learning Expert for our team in Romania

Lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

Evaluate current ideas/solution/processes by performing statistical analysis to resolve data set problems and enhancing the accuracy of predictive automation capabilities.

Key accountabilities and decision ownership:

  • 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 algorithms that could be usedto solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differencesin 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
  • Finding available datasets online that could be used for training
  • Defining validation strategies
  • Defining the pre-processing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines
  • Training models and tuning their hyperparameters
  • Analysing the errors of the model and designing strategies to overcome them
  • Deploying models to production

Core competencies, knowledge and experience:

  • Proficiency with a deep learning framework such as TensorFlow or Keras
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
  • Expertise in visualizing and manipulating big datasets
  • Experience with Linux/Unix Systems
  • Ability to select hardware to run an ML model with the required latency
  • Strong analytical skills
  • High attention to detail
  • Innovation and creativity
  • Ability to work with large, complex datasets

Must have technical / professional qualifications:

  • Data science certification
  • Python certified proficiency
  • Experience working closely in a team/squad/tribe using agile methodologies Scrum and/or Kanban, practicing DevOps and Continuous Delivery / Integration