We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products.
Machine Learning Engineer 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.ResponsibilitiesDesign, build and test Machine Learning models, such as supervised ensemble models (Random Forest, XGBoost, CatBoost, etc.)
as well as Deep Learning modelsDeploy ML models, exposing model predictions through APICome up with ML solutions to constantly optimize our work pipeline and replace time-consuming processesPerform statistical analysis and fine-tuning using test results and develop tools to aid in the post-deployment assessment of our ML productsStudy and transform data science prototypesResearch and implement appropriate ML algorithms and toolsSelect appropriate datasets and data representation methodsTrain and retrain systems when necessaryMinimum Requirements3+ years of experience in developing ML/DL modelsSolid programming skills and understanding of software architecture, understanding of data structures, data modelingSolid knowledge of the most common ML Python libraries (scikit-learn, Keras, Tensorflow)Familiarity with Jupyter notebooks, PyCharm, and REST APIAbility to work autonomously and to balance multiple projects and deadlinesGood communication skills and ability to explain statistics and ML concepts to both internal and external stakeholders in a simple and intuitive mannerProven experience as a Machine Learning Engineer or similar roleDeep knowledge of maths, probability, statistics, and algorithmsExcellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Master's degree is a plusBenefitsPrivate Health InsurancePaid Time OffHybrid work solution 60% from homeTraining & Development #J-18808-Ljbffr