Description:
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!
About the role:
What you will do
- All aspects of the machine learning development life cycle are familiar to you. You are passionate about 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 worked with machine learning and data analysis libraries but realize building a machine learning system is much more than just calling a few APIs. You have a strong interest in 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.
What we are looking for
- Bachelor’s degree or equivalent in Computer Science or a related field with focus in machine learning.
- Strong software engineering skills with a minimum of 5 years’ experience in ML enterprise software development.
- 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.
- Solid experience with data processing using Spark
- Hands on experience with Deep Learning techniques such as network architectures, transformers, embeddings, regularizations, optimization strategies, transfer learning, distillation, etc.
- Practical experience in and strong understanding of machine learning algorithms and relational data with experience writing, debugging and optimizing ML data structures, pipelines and transformations, with Python/Pandas/SQL
- Familiarity with PyTorch, TensorFlow, JAX.
- Experience working in Linux environments and in the cloud with containerization technologies (Docker, Kubernetes, Argo, Helm).
- Proven understanding and experience of distributed computing architectures.
- 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.