Scalable Global Solutions jobs

The AI Engineer will be responsible for the design, development, deployment, and support of AI-driven solutions within the Global Markets domain. The role requires strong technical expertise in machine learning, generative AI, and agentic AI frameworks, with a focus on delivering scalable, secure, and future-proof solutions aligned with enterprise architecture standards.

The candidate should possess a bachelor’s degree in information systems

General expectation:

• 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

• Good communication skills

Skillset and experience:

• 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, LangChain, LangGraph, 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, SageMaker, MLflow).
• Experience with DevOps practices including CI/CD, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation).
• 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.