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3 Weeks ago

Staff Software Engineer(Azure OpenAI, Bedrock, Python, Java, C#)

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Information Technology
Full-Time
Commonwealth Bank

Overview

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Staff Software Engineer

Location: Manyata Tech Park, Bangalore

Business & Team: CTO – Cloud Modernisation

Impact &contribution: We are seeking a highly skilled Senior AI Engineer to join our team. The ideal candidate will have extensive experience in using Azure OpenAI or Bedrock models to build intelligent applications. This role requires a deep understanding of AI technologies, strong programming skills, and the ability to work collaboratively with cross-functional teams to deliver innovative solutions.

Roles & responsibilities:

  • Develop and implement AI models and algorithms using Azure OpenAI or Bedrock technologies to optimize business processes and improve efficiency.
  • Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and design effective AI solutions.
  • Build, deploy, and maintain intelligent applications that leverage generative AI models.
  • Ensure the scalability, performance, and reliability of AI solutions.
  • Stay updated with the latest advancements in AI and machine learning technologies and integrate them into existing systems.
  • Provide technical guidance and mentorship to junior engineers and team members.

Essential skills:

  • 12+ years of experience in relevant filed.
  • Proven experience in developing AI models using Azure OpenAI or Bedrock.
  • Strong programming skills in languages such as Python, Java, or C#.
  • Experience with cloud platforms, particularly Azure and AWS.
  • Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Experience in deploying AI models in production environments.
  • Knowledge of natural language processing (NLP) and computer vision.
  • Experience with DevOps practices and tools for continuous integration and deployment.
  • Familiarity with data engineering and data pipeline development.
  • Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
  • Proficiency in using LLM frameworks and toolkits such as Langchain, Crew AI, MCP, Cline, Aider, and similar technologies.

Education Qualification: Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.

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