The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).
The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers. We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.
What You'll Be Doing:
* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Collaborate with fellow team members on exciting and challenging projects.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our models quality, and performance.
* Desire to continually keep up with advancements in data science practices.
Requirements: * 2+ years experience as a data scientist, applied researcher or similar in the industry, developing and training models in Python.
* M.Sc/Ph.D in exact sciences
* Engineering Background - developer/engineer experience - a must.
* At least 1+ year developing in Java/TypeScript/JavaScript or similar (Python/R excluded).
* Experience in Machine Learning techniques, Time Series, NLP, Optimization, DNN, Recommendation Systems, Bayesian Optimization, and Data Science best practices.
* Deep theoretical knowledge in ML algorithms related to the relevant disciplines,
* Ability to write clean and concise code in Python and SQL with the ability of writing production level code and the experience of deploying it.
* Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders and the ability to work closely within a team.
* Creative thinker with a proven ability to innovate through data exploration and application of complex and multi-discipline solutions.
* Curiosity, high level of self learning capabilities.
* Experience using CI/CD tools - mandatory.
* Experience using Cloud (preferably GCP) and Distributed frameworks, e.g. Spark/Kubernetes - Advantage.
This position is open to all candidates.