Note: Candidates with 8+ years of experience and above will only be preferred.

Job Summary

Seeking an experienced AI skilled with over 8 years of expertise in Generative AI, Large Language Models (LLMs), and Data Science to lead and deliver cutting-edge VRM solutions. The ideal candidate will leverage cutting-edge GenAI technologies to enhance vendor risk assessment, compliance automation, and decision-making processes within financial services or similar domains.

Key Responsibilities
Develop and implement advanced Generative AI solutions, including LLM-based summarization, Q&A; systems, and semantic search for vendor risk management.
Design and deploy cloud-native ML infrastructure on AWS and GCP, ensuring scalable and secure VRM workflows.
Automate vendor onboarding, risk assessment, and compliance reporting using NLP, document AI, and RAG techniques.
Collaborate with cross-functional teams to integrate AI solutions into existing risk management frameworks.
Optimize data pipelines,



preprocessing workflows, and storage solutions for efficiency and performance.
Lead AI model testing, validation, deployment, and continuous improvement efforts.
Mentor junior team members and drive innovation in AI-driven risk analytics.

Qualifications & Skills
8+ years of experience in Data Science, Machine Learning, and Generative AI.
Proven expertise in LLMs (GPT-4, GPT-3.5), RAG, Prompt Engineering, and Vector Search.
Robust background in cloud platforms: AWS (S3, Lambda, SageMaker) and GCP (Vertex AI, BigQuery).
Proficient in Python, SQL, PySpark, and related data engineering tools.
Experience with document AI, NLP, and big data processing (Spark, Hadoop).
Knowledge of risk and compliance domains preferred.
Excellent communication, leadership, and stakeholder management skills.
J-18808-Ljbffr

📌 Ai Cloud Solutions Engineer Generative Ai City Of Sydney (Australia)
🏢 Synechron
📍 Australia