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!