Applied AI ML Associate Senior- Python/Java , 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