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Job Description
Structured overview of role & requirementsAbout This Role
Develop and optimize AI-driven digital solutions and workflows, including Generative AI using Python and LangChain, to accelerate transformation and migration projects like Oracle to Postgres and .NET migration.
Lead Microsoft platform decommissioning and support the .NET Sunset Program, ensuring strategic assessment, planning, migration, and minimal disruption.
Collaborate with architects and AI/ML teams to implement solutions, deploy on GCP, and enhance AI tool integration (e.g., prompt templates, RAG pipelines, LangChain agents).
Minimum Requirements
Proficient in Python programming with hands-on experience in Generative AI workflows using LangChain.
Experience or knowledge in Machine Learning frameworks (Tensorflow/PyTorch), and familiarity with Vector Databases and Retrieval-Augmented Generation (RAG) techniques.
Educational background in Engineering with exposure to Machine Learning, Deep Learning, or Artificial Intelligence.
Work Experience Required: Student-level internship, experience level: Student; Internship duration: 6 months starting January 2027 (flexible).
Ideal Candidate Profile
Strong technical orientation towards AI/ML engineering with practical skills in developing and deploying AI applications in structured project environments.
Ability to lead specific migration and decommissioning activities involving Microsoft platforms and .NET within corporate digital transformation projects.
Comfortable working collaboratively in international teams with a focus on operational delivery and integration of AI enablers in enterprise systems.