Applied AI ML Associate Senior- PythonJava , AWS

Seeking AI/ML technical leader to drive innovative banking solutions and advance analytics in financial services.

As an Applied AI ML Associate Sr within Global Bank Technology team you will drive innovation by leading cutting-edge GenAI applications such as search tools chatbots and AI agents to solve complex challenges in Global bank financial services. Collaborate with a forward-thinking team to enhance global business operations and technology solutions.

Job Responsibilities

• Contribute towards end-to-end development and deployment of GenAI-powered applications (Search Chatbots Agents).
• Leverage expertise in AI NLP LLM and deep learning to improve business outcomes and processes.
• Design enterprise-level solutions for LLM and GenAI use cases on cloud platforms like AWS/Azure.
• Drive development testing deployment monitoring and continuous operations for cloud-based high-performant high-volume applications.
• Implement innovative software solutions and troubleshoot complex problems beyond routine methodologies.
• Utilize tools like Terraform IaC Splunk Dynatrace Grafana Prometheus and Datadog to build scalable and maintainable systems.
• Optimize system architecture operational stability coding hygiene and troubleshooting workflows.
• Advance production engineering and automation practices.
• Contribute to engineering communities fostering a culture of innovation diversity and inclusion.

• Contribute to SRE / Production support activities.

Required qualifications capabilities and skills

• Formal training in software engineering with 4 years of applied technical experience.
• Strong hands-on expertise in system design application development debugging fine-tuning and operational support.
• Deep knowledge of Python (including frameworks like FastAPI)/Java microservices architecture and APIs.
• Proficiency in AWS services such as EC2 ECS EKS Lambda DynamoDB RDS (Aurora/Postgres) Redshift EMR OpenSearch Stepfunctions and Kinesis.
• Experience designing cloud-ready solutions and developing strategies for GenAI and LLM-specific applications.
• Hands-on experience with Apache Kafka for building and operating event-driven/streaming pipelines.
• Strong skills in SQL relational databases and data modeling (e.g. Aurora RDS DynamoDB RDS).

• Experience with CI/CD tools

• Ability to solve complex design and functionality challenges independently.

• Excellent communication and interpersonal skills for collaborating within and across teams.

Preferred qualifications capabilities and skills

• Experience working with back-end technologies containerization (Docker ECS EKS) and GenAI agentic frameworks.
• Hands-on experience with modern cloud technologies particularly AWS for scalable AI workflows.
• Spinnaker experience is preferred