Job Description

Job Summary
We are seeking a highly skilled and motivated Data Scientist to join our AI & Analytics (AIA) team. The ideal candidate will have deep expertise in developing and deploying GenAI solutions, particularly Retrieval-Augmented Generation (RAG) systems, using modern frameworks and cloud-native tools. This role is pivotal in driving innovation and delivering scalable AI solutions that enhance business outcomes.
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Key Responsibilities

Design, develop, and deploy RAG-based GenAI systems using LLMs and vector databases. Build and maintain Flask-based APIs to serve AI models and integrate with enterprise applications. Leverage AWS Bedrock to fine-tune and deploy foundation models securely and efficiently. Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions. Conduct data exploration, preprocessing, and feature engineering to support model development. Monitor model performance and implement continuous improvement strategies. Document technical workflows and contribute to knowledge sharing within the team.
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Required Skills

Strong programming skills in Python, with experience in Flask and RESTful API development. Hands-on experience with Large Language Models (LLMs) and GenAI frameworks. Proficiency in AWS Bedrock and other AWS AI/ML services. Solid understanding of RAG architecture, vector search, and embedding techniques. Familiarity with MLOps practices and tools for model deployment and monitoring. Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
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Preferred Qualifications

Experience with LangChain, Pinecone, Weaviate, or similar vector databases. Exposure to data visualization tools like Power BI or Streamlit. Knowledge of prompt engineering and fine-tuning techniques for LLMs.
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Certifications

AWS Certified Developer - Associate Python Institute Certified Professional
Job Type: Fixed term contract

Pay: $72,567.17-$140,536.52 per year

Experience:

Python: 7 years (required) GenAI frameworks: 5 years (required) AWS AI/ML services: 6 years (required) * RAG: 5 years (required)