Machine Learning Engineer - Generative AI (5-9 yrs)

Requirements :

- 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 Deep Learning (PyTorch) and Classical ML (Scikit-Learn).

- Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production.

- Demonstrate experience working in cross-functional teams to deliver ML solutions at scale.

- Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents).

- Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications.

- SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena.

- Advanced software engineering skills including data structures and algorithms.

- 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.