• ML systems design, development, and deployment
• Development of ML and DL models for a variety of different business areas
• Data collection, set up, and control data annotation workflow
• Establishment and maintenance of MLOps workflows
• Exploratory data analysis and visualization
• Developing and testing research ML hypotheses - A/B testing, statistical testing
• Direct communication with English-speaking customers

• 4+ years of proven hands-on experience in at least one of the sections: NLP, CV, Audio (Signals, Time-series), Tabular Data
• Confident knowledge of Python 3.8+
• Knowledge of Numpy, Pandas, Dash, Matplotlib, OpenCV
• Hands-on experience with main ML libraries (sci-kit learn, LightGBM, CatBoost, XGBoost, scipy Pytorch 1.x and 2.x, Tensorflow 2.x)
• Deep and fluent knowledge of PyTorch for practical tasks
• Knowledge of MLflow, ClearML, w&b, Apache Airflow, and Tensorboard will be a plus
• Core knowledge of statistics - from basic approaches to Bayesian inference, readiness to dive into technical details of each ML model you work with
• Ability to read and implement scientific ML articles
• Version and dependencies control systems: git, poetry, pyenv, bash
• Fluent SQL skills
• Experience with Docker/Kubernetes
• Experience with Flask/FastAPI

At Vention, we assemble senior-level, dedicated teams of developers to help fast-growing startups and innovative enterprises drive impact and achieve their goals. We’ve delivered solutions across multiple domains, including fintech, proptech, adtech, healthtech, e-commerce, and more.

Our Data team works with clients to create data platforms from scratch or modfy and update existing platforms. The tech stack depends on the project, but we mainly use Spark (along with Scala, Python, or Java) — as well as Apache Kafka, Apache Cassandra, Apache Hadoop, Apache Parquet, and AWS.

Internal knowledge transfer activities are conducted within the Data Engineering Family (which includes data practice & data competency) — it is a space for all of our specialists to share their experiences, learn new skills, host meetups, mentor others, and more.