remote
Principal Engineer - AI/ML & Data Science - Ameriprise
Data Scientist
Lead the design and delivery of advanced AI/ML solutions for financial services, driving innovation in data science, model deployment, and cloud infrastructure using Python, AWS, and SQL.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI/ML pipelines that solve complex financial problems, from data ingestion to model deployment.
- Collaborate with cross‑functional teams to translate business requirements into scalable data science solutions.
- Mentor and guide a team of data scientists and engineers, fostering best practices in model development, testing, and monitoring.
- Design and maintain cloud‑native infrastructure on AWS, ensuring high availability, security, and cost efficiency.
- Drive continuous improvement of data quality, feature engineering, and model performance through rigorous experimentation.
Requirements
- 10+ years of experience in software engineering with a strong focus on AI/ML and data science.
- Proficiency in Python, SQL, and experience with ML frameworks such as TensorFlow or PyTorch.
- Deep knowledge of AWS services (SageMaker, EC2, S3, Lambda) and experience building scalable data pipelines.
- Strong analytical skills, with a proven track record of delivering production‑ready models in a financial context.
- Excellent communication skills and ability to lead technical discussions with stakeholders at all levels.
Skills
pythonmachine learningawssql