Job Description

Roles & 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

• Good communication skills

Desired Candidate Profile

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  • 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.

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