- Hands on experience in working with Marketing Domain datasets.
- 2+ years of applicable work experience in ML.
- 5+ years of hands-on experience in Snowflake.
- 2+ years of experience on Generative AI projects.
- Proficiency with the Python Machine Learning stack, e.g. Pandas, etc.
- Knowledge of experimental design and analysis of results.
- Demonstrate experience with applying Machine Learning, including both DeepLearning (PyTorch) and Classical ML (Scikit-Learn).
- Demonstrate experience with leading Machine Learning teams in deploying andimproving ML features in production.
- Demonstrate experience working in cross-functional teams to deliver MLsolutions at scale.
- Familiarity with Large Language Models, especially in the context ofinteractive dialog systems and chatbots (RAG, Generative AI, ConversationalAgents).
- Experience deploying systems that use NLP such as Information Retrieval (IR),Recommender Systems (RecSys), or other NLP Applications.
Preferred Qualifications:
- SQL and experience with big data technology such as Hive, Presto, Glue,(Py)Spark, or Athena.
- Advanced software engineering skills including data structures andalgorithms.
- Experience with data pipelines and model serving in AWS.
- Experience with MLOps, especially on AWS, at scale.
- Experience working with AWS Cloud Formation templates is a plus.
- Familiarity with Agile and SCRUM methodologies is a plus.
- Experience working with PowerBI to develop dashboards is a plus.
- Analytical skills related to working with unstructured datasets.
- A successful history of processing value from large, disconnected datasets.
- Experience working with agile, globally distributed teams.