ML Engineer in Competera

Competera Pricing Platform uses Big Data and Deep Learning to change the way retailers do pricing. We are known for both cutting-edge math ‘under the hood’ and for deep expertise in the pricing domain. We are now looking for a **Machine Learning Engineer** to help us deliver core value to the end-users by turning production-ready algorithms into production-mode solutions. **What you will do:** * Deploy, version and scale ML algorithms selected as ‘core’ to serve Competera customers * Monitor the performance of deployed ML models over time with the help of already developed metric. Your own approach and tools are welcome in addition to the existing ones * Identify any possible flaws in model serving pipeline(s), look for root causes, fix if possible, involve other engineers when needed (ML researchers, DevOps, DS S&D, Data Science Lead, etc.) **Starter-kit needed to join the board:** * 1-2 years of relevant experience as ML Engineer or MLOps * Good knowledge of ML theory and practice - pros & cons of different model types, validation, metrics, hyperparameter tuning, interpretability * Python 3.х, VCS (git), software engineering skills * Hands-on experience with scientific Python toolkit: numpy, pandas, scikit-learn, jupyter-tools, seaborn, plotly, etc. * Hands-on experience with one of DL frameworks: Keras / Tensorflow / PyTorch * Command of SQL **Pleasant extras:** * Knowledge of statistics, probability theory and linear algebra. MSc/BSc in Computer Science or similar degree is a plus * Big Data / out-of-core learning stack (pyspark, vaex, dask, apache beam, etc.) - you are not scared by data that does not fit into Excel workbook ;) * Knowledge of time-series specifics: STL, stationarity testing, ts validation, backtesting, sequence-based NN architecture knowledge, etc. * Knowledge of сd4ml practices: pipelines, data validation, automated model training, data & model versioning, metrics visualization - DVC, neptune.ai, wandb, etc. **You’re gonna love it, and here’s why:** * Meaningful work in an agile team of engineers, who turn business ideas into software solutions * Fair payout with regular performance-based reviews and stock options plan for top performers * Remote-first ideology: freedom to choose between a pet-friendly coworking and a home office even after the pandemic * Working hours that adapt to your biorhythm, yet require staying available till 12am Kyiv time one day a week * Want to learn? Competera loves that and is eager to cover 60% of your training/courses fee * Paid vacation & sick leaves (20 business days each) + 15 days off * Partial medical insurance coverage **Let’s price the world together!**