AI Engineer 2
Core
Develop, evaluate, and operationalize transformer-based and generative AI solutions to address real business challenges within the AI & Data organization.
Role type
Mid-level hands-on AI Engineer
Builds
Scalable, production-ready AI and machine learning solutions
Domain
Financial technology / Generative AI / Transformer models
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, transformer architectures, large language models, tokenization, embeddings, generative AI, data processing, feature engineering, model training, model evaluation, cloud development (AWS/Azure/GCP), software engineering fundamentals, APIs
Preferred skills
Model-serving solutions, CI/CD principles, scalable computing concepts
Technologies
PyTorch, TensorFlow, AWS, Azure, GCP
Responsibilities
Develop and support AI/ML models; Contribute to transformer-based and generative AI solutions; Build and maintain data preparation and model training pipelines; Assist in creating and managing datasets; Support implementation and optimization of ML workflows; Integrate AI models into applications and production environments; Support model testing, validation, and monitoring; Apply MLOps best practices; Collaborate with cross-functional teams; Troubleshoot model performance and data quality issues.
Seniority
Mid-level, hands-on IC
