Lead AI projects and build scalable data products, prioritizing robust Python development and the integration of Machine Learning into the software lifecycle;
Architect and develop new systems, refine existing solutions, and resolve tickets and bug fixes;
Directly deliver artificial intelligence models that are rigorously aligned with business objectives and software engineering standards.

Bachelor's degree in a STEM or related quantitative field;
Proficiency in Python, Databricks, GitHub;
Experience with code maintenance, improvements to legacy code/version upgrades, SOLID / Clean Code principles, Docker / Kubernetes, SQL databases (PostgreSQL, MariaDB), NoSQL databases (DynamoDB, Firebase), queue management (SQS, Kafka, RabbitMQ), DAG workflows (Airflow and similar);
Knowledge of prompt engineering, RAG, basic statistics, service architecture, ML model parameter tuning, data engineering (ELT or ETL), and Java / Spring Boot.

Software Developer

Key skills