Data Engineer
Core
Designing, developing, and prototyping solutions based on machine learning and generative AI models for R&D projects.
Role type
Data Engineer for Generative AI
Builds
AI/GenAI prototypes, proof-of-concepts, and integrated applications
Domain
Cybersecurity, fraud prevention, and digital transformation
Deliverable
production ML models
Required skills
Machine learning, generative AI, data analysis, statistical modeling, data preparation, feature engineering, programming/scripting
Preferred skills
Relational/non-relational databases, data lakes, cloud environments (AWS, GCP, Azure), containerization (Docker)
Technologies
SAS, SQL, Python, R, Git, GitHub, PyTorch, TensorFlow, Scikit-learn, LangChain, LlamaIndex
Responsibilities
Research and experimentation of AI and GenAI models, developing prototypes and proof-of-concepts, implementing training/fine-tuning/evaluation pipelines, analyzing datasets and supporting data preparation, collaborating on AI application development
Seniority
Mid-level, hands-on IC
