Senior Consultant-Tech Consulting-NAT-CNS-TC-Technology Strategy & Transformation-Hyderabad

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

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, finetuning, 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: 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+ years in software engineering, data engineering, or ML engineering. 

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

·        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.