You are seeking an AI/ML technical leader to drive innovative banking solutions and advance analytics in financial services. As an Applied AI ML Associate Sr within the Global Bank Technology team, you will lead 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. **Key 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. **Qualifications Required:**
Formal training in software engineering with 4+ years of applied technical experience. - Solid 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. If you are looking for additional details about the company, please provide that information so I can include it in the job description. You are seeking an AI/ML technical leader to drive innovative banking solutions and advance analytics in financial services. As an Applied AI ML Associate Sr within the Global Bank Technology team, you will lead 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. **Key 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. **Qualifications Required:**
Formal training in software engineering with 4+ years of applied technical experience. - Solid 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 d