AI Engineer – Global Markets

Job Responsibilities

• Collaborate with business and technology stakeholders to understand analytical needs and translate them into AI solutions.
• Design and implement AI/ML pipelines, including data ingestion, model training, evaluation, and deployment.
• Develop and maintain GenAI and agentic AI applications using modern frameworks and cloud‑native tools.
• Ensure solutions are aligned with enterprise AI governance, security, and compliance standards.
• Provide production support and continuous improvement for deployed models and applications.
• Contribute to knowledge sharing and capability building within the team.
• Respect timelines and demonstrate strong communication skills.

• 8+ years of experience in AI/ML engineering, with recent focus on GenAI and agentic AI.
• Hands‑on experience on AWS and Azure.
• Hands‑on experience with CrewAI, Lang Chain, Lang Graph, RAG pipelines, and LLM fine‑tuning.
• Strong programming skills in Python and experience with FastAPI, REST APIs, and microservices.
• Proficiency in cloud platforms (AWS, Azure) and MLOps tools (Vertex AI, Sage Maker, MLflow).
• Experience with Dev Ops practices including CI/CD, containerization (Docker), and infrastructure‑as‑code (Terraform, Cloud Formation).
• Familiarity with vector databases (e.g., FAISS, ChromaDB) and graph‑based reasoning (e.g., Neo4j).
• Exposure to financial services or Global Markets, specifically Murex, is a plus.