• Design, develop, and deploy ML systems
• Manage data collection and control labeling processes
• Establish and maintain of MLOps workflows
• Conduct exploratory data analysis and visualization
• Develop and test hypotheses
• Communicate directly with English-speaking customers

• 4+ years of experience with Programming Languages and Environment Management:
  Python, Conda/Poetry, Pip, Linux, Bash
• Experience with Machine Learning Libraries: PyTorch/TensorFlow, NumPy, Scikit-learn, Pandas, OpenCV
• Skills in Data Visualization: Matplotlib, Seaborn
• Expertise in Model Deployment and Serving: Docker, Flask/FastAPI/Tornado
• Knowledge in Databases and Storage: SQL, AWS S3/Azure Blob Storage
• Proficiency in Version Control: Git
• Experience with Development Environments: Jupyter Notebook, PyCharm/VSCode
• Hands-on with Machine Learning Operations (MLOps): MLflow/TensorBoard/Weights & Biases
• Experience or strong interest in Computer Vision and Natural Language Processing (NLP)
• B2 level or higher in English

Nice to have:

• Familiarity with one or more cloud platforms (AWS, Google Cloud, or Azure) is a plus

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 modify 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.