Backend Developer

About the job

Introduction
"Who We Are:
Machine Learning and AI are increasingly powering applications across organizations like financial institutions, healthcare, government etc. In order for AI to be successful and help improve our lives, it must be trustworthy by providing transparency and be explainable. Organizations are recognizing the importance of a holistic approach to governed data and AI technology in order to manger risk and regulations and to safeguard their brand reputations.
At IBM we are helping people and organizations adopt AI responsibly. Watson Studio Trust (aka Watson OpenScale) is an enterprise-grade environment for AI applications that provides visibility into how AI is built, is used, and delivers return on investment. We enable organizations to validate and monitor AI models deployed anywhere, to help comply with regulations and mitigate business risk. Some of the core capabilities we provide include the ability to detect and mitigate bias, monitor the accuracy and quality of models and explain model predictions.

Who You Are
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role and Responsibilities
What You'll Do
At IBM, you'll be a part of the Watson Studio Trust team and help develop capabilities that enable organizations to deploy and scale AI applications that are trustworthy. Some of the core capabilities that you will develop and maintain include the ability to detect and mitigate bias, monitor the accuracy and quality of models and explain model predictions.
You will work in an innovation driven, collaborative environment to understand requirements, architect, design and implement trusted AI solutions.
You will develop proof of concepts to establish technical feasibilities.
You will work with customers to help them succeed in their AI journey by adopting Watson Studio Trusted AI solutions.
You will communicate clearly on issues and challenges if any.
You will mentor junior members.

Required Technical and Professional Expertise
Required Technical and Professional Expertise

• 8-10 years experience spanning design, implementation and maintenance of applications built using micro-services architecture
• Solid development experience in one of Python, Java
• Experience in authoring SQL queries for micro services which interact with databases.
• Experience in authoring build scripts for packaging services as micro-services (Maven or Ant or Gradle)
• Experience in installing, configuring, operating, and monitoring CI/CD pipeline tools
• Experience working with different AI/ML frameworks to build ML models.
• Excellent debugging skills and familiarity with testing tools
• Ability to collaborate and work independently when required.
• Strong sense of ownership of deliverables
• Coach and mentor junior team members

Preferred Technical And Professional Expertise
Comes with a strong product development background who has deep understanding of the product development lifecycle.
Willing to lead and work on quick proof of concepts.
Willing to explore and learn on new AI/ML model monitoring products.

About Business Unit

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.