Generative AI Engineer

What you’ll do • Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems. • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions. • Perform design, creation, and interpretation of large and highly complex datasets. • Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions. • Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions. • Implement security best practices in pipelines and infrastructure. • Develop and implement data quality checks and troubleshoot data anomalies. • Provide guidance and mentorship to junior data engineers. • Review dataset implementations performed by junior data engineers. What experience you need • BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred • 5+ years of experience as a data engineer or related role • Cloud certification strongly preferred • Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages • Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments • Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance • Demonstrates advanced Git usage and CI/CD integration skills What could set you apart • Master’s degree in a related field is a strong plus • Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud technology • Strong foundational skills in Linux Operating System. • Understanding of NLP, deep learning, and generative architectures (Transformers, Diffusion Models, etc.) • Background in credit risk, financial data analytics or risk modeling. • Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop) • Experience in Business Intelligence, data visualization, and customer insights • generation. • Familiarity with data governance, model bias mitigation, and regulatory frameworks (GDPR, AI Act, SEC compliance). • Experience with MLOps practices, model monitoring, and CI/CD for AI workflows. • Knowledge of prompt tuning, fine-tuning, and parameter-efficient methods (LoRA, PEFT). • Hands-on experience with RAG, multi-modal AI, and hybrid AI architectures. • Contributions to the AI community through publications, open-source projects, or conference presentations.