Senior Technology Strategy and Transformation Consultant

Build and maintain production‑grade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker).

Develop and automateend‑to‑end data and ML pipelinesusing Spark/PySpark, Glue, Airflow, or dbt.

Implement LLM‑based solutions:prompt engineering, evaluation, workflow integration.

Apply GenAI techniques includingRAG, context engineering, finetuning, and agentic frameworks(tool calling, orchestration workflows).

Support model training, inference, and evaluation with strong grounding intraditional ML methodsandEDA.

Use engineering best practices:GitHub, CI/CD, Infrastructure‑as‑Code (Terraform/CloudFormation), testing, observability.

Ensure compliance with security and data‑governance standards in a financial‑services environment.

Required Qualifications

· 5+ yearsin software engineering, data engineering, or ML engineering.

· Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.).

· Expertise inPython,PySpark, andSQL.

· Proven experience automatingdata pipelinesandML workflows.

· Familiarity withtraditional ML methods(regression, classification, clustering, tree‑based models) andEDA.

· Hands‑on experience with LLM/GenAI: RAG, prompt engineering, agentic frameworks.

· Strong communication skills and ability to work independently in global teams.