onsite
AI Engineer - Kelly Services
AI Engineer
AI Engineer building scalable, AI‑powered financial automation solutions using Python, Machine Learning, and AWS. Drive end‑to‑end model development, deployment, and production monitoring in a fast‑paced enterprise environment.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models for financial operations automation using Python and AWS services.
- Collaborate with data scientists and software engineers to integrate models into production pipelines and microservices.
- Implement data ingestion, feature engineering, and model training workflows on large datasets.
- Monitor model performance, troubleshoot issues, and iterate on model improvements in a continuous delivery environment.
- Document model architecture, data pipelines, and best practices for reproducibility and compliance.
Requirements
- 3+ years of experience in AI/ML engineering with strong Python programming skills.
- Proficiency with AWS services (SageMaker, Lambda, S3, EC2) and containerization (Docker, ECS/EKS).
- Hands‑on experience with NLP or structured data modeling, including feature extraction and model evaluation.
- Solid understanding of data engineering concepts, SQL, and data pipeline orchestration.
- Excellent problem‑solving skills and ability to work collaboratively in a cross‑functional team.
Skills
pythonmachine learningawsnlp