Data Scientist AI​/ML​/AI Engineer​/Lead AI Engineer​/AI Architect​/ML Engineer​/Data Scie

Location: Malvern, PA OR Charlotte, NC (Hybrid – 3 days/week from office)

• Build and maintain production grade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, Sage Maker).
• Develop and automate end to end data and ML pipelines using Spark/PySpark, Glue, Airflow, or dbt.
• Implement LLM based solutions: prompt engineering, evaluation, workflow integration.
• Apply GenAI techniques including RAG, context engineering, fine tuning, and agentic frameworks (tool calling, orchestration workflows).
• Support model training, inference, and evaluation with strong grounding in traditional ML methods and EDA.
• Use engineering best practices:
  Git Hub, CI/CD, Infrastructure as Code (Terraform/Cloud Formation), testing, observability.
• Ensure compliance with security and data governance standards in a financial services environment.

• 5+ years in software engineering, data engineering, or ML engineering.
• Expertise in Python, PySpark, and SQL.
• Proven experience automating data pipelines and ML workflows.
• Familiarity with traditional ML methods (regression, classification, clustering, tree based models) and EDA.
• Hands on experience with LLM/GenAI: RAG, prompt engineering, agentic frameworks.
• Strong communication skills and ability to work independently in global teams.