We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead will be integral to the data science feature development process, working with data engineering.
You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop the first-ever, real-time corporate credit score platform.
This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.
You will:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Build forecasting/prediction models from scratch (POC) to production-ready
Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
Take a critical role in the research process for finding the best market solutions for defined business problems
Guide the R&D team and product teams

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.