• Participate in building, testing, and maintaining efficient data pipelines to support machine learning workflows. This includes data ingestion, preprocessing, transformation, and ensuring data quality and consistency across environments
• Contribute to the creation of intelligent agents capable of autonomous decision-making. Assist in integrating these agents into larger systems or applications, ensuring robust performance and scalability
• Work on extracurricular or research-oriented tasks involving the training, fine-tuning, and evaluation of machine learning models using standard frameworks. Analyze model performance and iterate based on insights and metrics
• Enhance team collaboration through participation in Agile development processes and understanding professional teamwork dynamics 

• Proficient in Python syntax and collections, pip, and Object-Oriented Programming (OOP) basics
• Good understanding of basic linear algebra (vector and matrix operations), derivatives, and function plots
• Knowledge of ML fundamentals: overfitting, gradient descent, classification, regression, metrics, and examples of ML models
• Basic familiarity with Pandas for data manipulation and analysis
• Knowledge of SQL basics and database schema design
• Experience training models using PyTorch or other frameworks, understanding of NLP and prompt engineering fundamentals would be a plus
• Experience developing web services is desirable
• Experience with web services, Bash, and Linux is desirable
• English proficiency at B2 level or higher
• Capacity to study for 6 hours daily

Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery. 

Our AI team is working on projects in language models, computer vision, and MLOps, applying machine learning to real-world problems. We’re also partnered with AWS, Microsoft, and Google to stay up to date with the latest tools and technologies.