Software Developer II, AI Integration Quality

The AI team is responsible for delivering machine learning solutions in the supply and demand space for verticals such as Retail, Consumer Packaged Goods, Life Sciences etc. This includes problems in the space of forecasting, optimization, replenishment, recommendation, explainability, and more. The uniqueness of the team is that it performs at the intersection of technology and real business problems. You will contribute to the product that delights customers world-wide!

• You are passionate about testing and shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality.
• You have a strong interest in testing, troubleshooting, debugging problems, integrating software end to end, building and setting up new development tools and infrastructure, excited about finding ways to automate and improve development and release processes while mentoring other developers.
• You re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.
• You are a team player, a quick starter and a problem solver. As well as comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. Ideally provide readily available solutions while considering technical aspects, effort, and risk. Your primary focus is shipping large-scale machine learning software that drives customer value by building robust, scalable and data-intensive systems.

• Retail business background with supply chain knowledge
• Familiarity with Deep Learning techniques such as network architectures, transformers, embeddings, regularizations, optimization strategies, transfer learning, distillation, etc.
• Familiarity with release processes for Enterprise products
• Solid background in Machine Learning fundamentals, statistical methods for ML, Bayesian methods, parametric and non-parametric methods, variational inference, generative models, stochastic processes, model explainability, etc.

• BE/BTech or equivalent in Computer Science or a related field with focus in machine learning.
• Total of 6+ years industry experience with a minimum of 3 years experience in ML enterprise software development and testing.
• Good software engineering skills
• Strong background in writing automation scripts using PyTest or equivalent.
• Ability to work in Linux environments and in the cloud with containerization technologies (Docker, Kubernetes, Argo, Helm).
• Disciplined approach to software testing including unit and integration test as well as CI/CD.
• Strong written and verbal communication skills and can easily articulate complex concepts in writing and speech.
• Experience working with at least one major cloud technologies (AWS, Azure or GCP)