This role is for an experienced person who is passionate about building complete, highly performant, intelligent, ML models and solutions. The work requires ML DevOps experience and building ML frameworks for evaluation, benchmarking, and testing of LLM models. 

The role involves a fair amount of customer engagement and solving complex problems with the customer/partner. The ideal candidate is someone who is self-motivated to drive the creation of great enterprise products, and who can collaborate and partner with other product teams, data scientists and engineers, and deal with ambiguity and complexity. 

Knowledge transfer to partners and community may be required, as well as presenting to customers or at public events. 

Basic Qualifications

Bachelor's Degree in Computer Science, Statistics, Data Science, Machine Learning, or related field AND 4+ years of practical experience in Machine Learning techniques & tools, as evidenced by prior projects is required.  

OR Master's Degree in Computer Science, Statistics, Data Science, Machine Learning, or related field AND 3+ years related experience

OR Doctorate in Computer Science, Statistics, Data Science, Machine Learning, or related field AND 1+ year(s) related experience

OR equivalent experience.

2+ years of experience with software design and development using general purpose programming language (Python/Java/C# etc.) and knowledge of data pipelines. 

Preferred Qualifications:

Bachelor's Degree in Computer Science, Statistics, Data Science, Machine Learning, or related field AND 6+ years of practical experience in Machine Learning techniques & tools, as evidenced by prior projects is required.  

OR Master's Degree in Computer Science, Statistics, Data Science, Machine Learning, or related field AND 3+ years related experience

OR Doctorate in Computer Science, Statistics, Data Science, Machine Learning, or related field AND 1+ year(s) related experience

OR equivalent experience.

Experience with GPT (Generative Pre-trained Transformer models), BERT (Bidirectional Encoder Representations from Transformers models or variants) and Natural Language Processing (NLP)

Experience with Azure AI Services is preferred.

Experience in dealing with ambiguity, and handling changes in customer requirements.