remote
Applied AI Engineer- BPL - Barclays
AI Engineer
Applied AI Engineer focused on building scalable, secure AI and machine learning solutions using Python and AWS, driving innovation across enterprise systems.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready AI models and ML pipelines that address business challenges.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications.
- Implement robust data ingestion, feature engineering, and model training workflows on AWS infrastructure.
- Ensure model reliability, security, and compliance with governance standards.
- Monitor model performance, troubleshoot issues, and iterate for continuous improvement.
Requirements
- Strong programming skills in Python with experience in ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience deploying models to AWS services (SageMaker, Lambda, ECS).
- Solid understanding of data pipelines, feature stores, and model monitoring.
- Knowledge of AI ethics, bias mitigation, and governance best practices.
- Excellent communication skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learningaws