• 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

• At least 4+ years of experience with NLP and LLM/Computer vision/MLOps
• Proficiency in Python, including language concepts, packaging, and dependency management
• Strong understanding of ML concepts, including classical algorithms, neural network basics, and evaluation
• Data manipulation and visualization skills using Pandas, NumPy, matplotlib, or similar libraries.
• Software engineering knowledge, including Docker, CI/CD familiarity, and testing
• Basic backend development knowledge, with experience in a web framework (e.g., FastAPI, Flask, Django)
• Experience working with AWS, or Azure, or GCP
• B2 level of English or higher, and experience in communicating with English-speaking customers

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.